Dealing with the limitation of only positive neural signals

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I
referred to having different (yet connected) control systems for the right
and left positions of the car in its lane. That was my way of getting
around situations Rick raised where r might larger than p or p might be
larger than r, suggesting a negative or positive error yet only positive
neural signals are known to exist. Does it fit with the way you see it?

Fred

The attached visual was created with SmartDraw, The World's First Visual
ProcessorT
To edit this file, download a free SmartDraw trial at www.smartdraw.com

Untitled Simple Diagram 1 preview.jpg

Untitled Simple Diagram 1.SDR (50.4 KB)

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I
referred to having different (yet connected) control systems for the right
and left positions of the car in its lane. That was my way of getting
around situations Rick raised where r might larger than p or p might be
larger than r, suggesting a negative or positive error yet only positive
neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn't have to have zero output for the car being in the middle of its lane, so you don't need separate ones for left of centre and right of centre.

Martin

[From Rick Marken (2017.08.16.1120)]

image001118.png

ParallelControl.xlsx (11.1 KB)

···

On Wed, Aug 16, 2017 at 12:21 AM, Eetu Pikkarainen eetu.pikkarainen@oulu.fi wrote:

EP: Martin, did you men something like this:

RM: Yes, nice job Eetu. And this is the architecture that I described in my original post in this thread: one perceptual variable as the input to two comparators, each getting the same reference signal but computing the error in opposite ways, as shown in your diagram; one computing r-p and the other computing p-r. Since neural signals cannot be negative, the neural implementations of these comparators will produce zero (rather than negative) output when the computed difference would be less than 0. I would put this explicitly into the diagram by making the comparator functions “if” statements. That is, one function would be:Â

if (p>r) then e= 0 else e = r-p.Â

RM: And the other would be:

RM: I had actually already produced a spreadsheet model that implements this “parallel comparator” control organization. It’s attached to this email. The green shading in the cell labelled R (reference) means that can put in different (positive) values for the reference signal. You “run” the spreadsheet by pressing the F9 key (hopefully the calculation options are preserved in the spreadsheet itself). Each press of F9 iterates through one cycle of the control loop and pseudo-random disturbance function. You can see that this architecture keeps the controlled variable (P) pretty close to R despite the randomly varying disturbances (D) that affect Qi. Note that the signals in the system always remain positive even though the environmental disturbances (D) push Qi back (negative direction) and forth (positive direction).Â

RM: You may notice that P moves farthest from R when the transition from one output to the other occurs. I want to figure out a way to smooth this out since it clearly is not seen in actual behavior (such as the behavior of controlling the position of a car; Qi being the physical and P the perceived position of the car). I am also building a hierarchical version of this “parallel comparator” architecture, which is a bit more challenging but necessary since control must be based on positive neural signals at all levels of the nervous system.Â

RM: But, again, my aim in broaching this topic was to point out that a control model implies that we should find some kind of implementation of this “parallel comparator” architecture throughout the nervous system. I was hoping that the neurophysiology experts on CSGNet would be able to speak to this. Specifically, I would like to know if there evidence of an architecture  existing in the nervous system that is like the one shown in Eetu’s diagram and my spreadsheet? If such architectures are found, especially at higher levels of the nervous system, I think it would be very strong physiological evidence that the nervous system is organized as a (most likely hierarchical) complex of input control systems.Â

Best

Rick


Richard S. MarkenÂ

"Perfection is achieved not when you have nothing more to add, but when you
have nothing left to take away.�
                --Antoine de Saint-Exupery

if (r>p) then e= 0 else e = p-r.Â

RM: The outputs of these two comparators drive two different outputs, O, one output “pushing” Qi in the positive direction and the other pushing it in the negative (opposite) direction, as shown in your diagram.Â

[Martin Taylor 2017.08.16.16.32]

[From Rick Marken (2017.08.16.1120)]

If I understand the spreadsheet properly, you are shorting out the

integrator on the side where the error is zero, making the output go
to zero immediately. That doesn’t correspond to your (or my)
description, which says that what goes to zero is the error value.
For the next sample after the error value has just become zero, the
integrator’s output should be what it was after the computation of
the previous sample, and thereafter should smoothly decline toward
zero until changes in the disturbance make its error again becomes
positive. When the error becomes positive again, the output on that
side shouldn’t start again from zero, but should start at whatever
value it declined to since the error went to zero.

I think maybe D6 should be

=D6+$A$5*($B$5*(IF(D4>D3,0,D3-D4))-D6), and E6 correspondingly
changed, but I can’t try it out (or try your original) because
pressing F9 on my El Capitan Mac brings up Mission Control, and I
can’t change that because somehow your spreadsheet hides row 20
where the random magic happens, and I’m not enough of an Excel guru
to be able to show lines 11-27.

Martin

image001118.png

···

On Wed, Aug 16, 2017 at 12:21 AM,
Eetu Pikkarainen eetu.pikkarainen@oulu.fi
wrote:

                EP:

Martin, did you men something like this:

      RM: Yes, nice job Eetu. And this is the architecture that I

described in my original post in this thread: one perceptual
variable as the input to two comparators, each getting the
same reference signal but computing the error in opposite
ways, as shown in your diagram; one computing r-p and the
other computing p-r. Since neural signals cannot be negative,
the neural implementations of these comparators will produce
zero (rather than negative) output when the computed
difference would be less than 0. I would put this explicitly
into the diagram by making the comparator functions “if”
statements. That is, one function would be:

if (p>r) then e= 0 else e = r-p.

RM: And the other would be:

        RM: I had actually already produced a spreadsheet model

that implements this “parallel comparator” control
organization. It’s attached to this email. The green shading
in the cell labelled R (reference) means that can put in
different (positive) values for the reference signal. You
“run” the spreadsheet by pressing the F9 key (hopefully the
calculation options are preserved in the spreadsheet
itself). Each press of F9 iterates through one cycle of the
control loop and pseudo-random disturbance function. You can
see that this architecture keeps the controlled variable (P)
pretty close to R despite the randomly varying disturbances
(D) that affect Qi. Note that the signals in the system
always remain positive even though the environmental
disturbances (D) push Qi back (negative direction) and forth
(positive direction).

        RM: You may notice that P moves farthest from R when the

transition from one output to the other occurs. I want to
figure out a way to smooth this out since it clearly is not
seen in actual behavior (such as the behavior of controlling
the position of a car; Qi being the physical and P the
perceived position of the car).

if (r>p) then e= 0 else e = p-r.

        RM: The outputs of these two

comparators drive two different outputs, O, one output
“pushing” Qi in the positive direction and the other pushing
it in the negative (opposite) direction, as shown in your
diagram.

[From Rick Marken (2017.08.16.2220)]

ParallelControl2.xlsx (10.9 KB)

···

Martin Taylor (2017.08.16.16.32)–

MT: If I understand the spreadsheet properly, you are shorting out the

integrator on the side where the error is zero, making the output go
to zero immediately. That doesn’t correspond to your (or my)
description, which says that what goes to zero is the error value.

RM: You are absolutely right!! Thanks! I re-wrote it so that the error (not the output) goes to zero when the difference between r and p is negative. I’ve attached the revised version. I’ve also unhidden the filtered noise calculations that I used for the disturbance. And you can run it by clicking repeatedly on the “calculate” button down in the lower left of the display. With this correction the sheet seems to run as well or better than the incorrect way I had it before!. Thanks again. There are a few more little corrections to make still but I think I’m prepared to move on to the hierarchical version.Â

Thanks again.Â

BestÂ

Rick

Â

For the next sample after the error value has just become zero, the

integrator’s output should be what it was after the computation of
the previous sample, and thereafter should smoothly decline toward
zero until changes in the disturbance make its error again becomes
positive. When the error becomes positive again, the output on that
side shouldn’t start again from zero, but should start at whatever
value it declined to since the error went to zero.

I think maybe D6 should be

=D6+$A$5*($B$5*(IF(D4>D3,0,D3- D4))-D6), and E6 correspondingly
changed, but I can’t try it out (or try your original) because
pressing F9 on my El Capitan Mac brings up Mission Control, and I
can’t change that because somehow your spreadsheet hides row 20
where the random magic happens, and I’m not enough of an Excel guru
to be able to show lines 11-27.

Martin

Richard S. MarkenÂ

"Perfection is achieved not when you have nothing more to add, but when you
have nothing left to take away.�
                --Antoine de Saint-Exupery

[From Fred Nickols (2017.08.17.0803Â ET)]

Thanks Eetu. This is very helpful and I think I get it.

Fred

image001121.png

···

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Thursday, August 17, 2017 7:48 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

[Eetu Pikkarainen 2017-08-17 2]

Thanks Rick! I added the more explicit equation to the comparators in a shortened form:

Fred, now I think I can solve the application problem.

Let’s arbitrarily choose that left is negative direction. (Right handed controller in a culture where we write from left to right.)

The left edge of the lane is 0% and right edge is 100%. The target (Rick’s “reference state�) in the center of the lane is 50% of the width of the lane.

Respectively the perception of car being in left verge is 0% of the perception of car being in the right verge and the reference value is 50% of the perception of car being in the right verge. (This is the most clumsy part!)

If the car drifts to half of the left side of the lane then the perception is a half of reference value (and 25% of the perception of the car being in the right verge).

If the car is in the center then both comparators send zero error and you keep the steering wheel as it was. If the car drifts to left then the perception becomes lower than the reference and the comparator1 starts sending an error value to the “positive� output function and you turn the wheel to the right. When the car then goes to the right side that error value of comparator1 goes to zero and the comparator2 starts sending an error value to the “negative� output function and you turn the wheel to the left.

Hope this helps you as it feels(?) to help me.

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

[From Fred Nickols (2017.08.17.0805 ET)]

One question, Eetu. Where are “disturbances�? I don’t see them in the diagram.

Might you bring the arrow from Output Function2 into the right side of the CEV and bring Disturbances in to CEV from the bottom?

Fred

image001121.png

···

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Thursday, August 17, 2017 7:48 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

[Eetu Pikkarainen 2017-08-17 2]

Thanks Rick! I added the more explicit equation to the comparators in a shortened form:

cid:image001.png@01D3172F.975C32A0

Fred, now I think I can solve the application problem.

Let’s arbitrarily choose that left is negative direction. (Right handed controller in a culture where we write from left to right.)

The left edge of the lane is 0% and right edge is 100%. The target (Rick’s “reference state�) in the center of the lane is 50% of the width of the lane.

Respectively the perception of car being in left verge is 0% of the perception of car being in the right verge and the reference value is 50% of the perception of car being in the right verge. (This is the most clumsy part!)

If the car drifts to half of the left side of the lane then the perception is a half of reference value (and 25% of the perception of the car being in the right verge).

If the car is in the center then both comparators send zero error and you keep the steering wheel as it was. If the car drifts to left then the perception becomes lower than the reference and the comparator1 starts sending an error value to the “positive� output function and you turn the wheel to the right. When the car then goes to the right side that error value of comparator1 goes to zero and the comparator2 starts sending an error value to the “negative� output function and you turn the wheel to the left.

Hope this helps you as it feels(?) to help me.

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

Dear Eetu,

diagram is nice, but I’m afraid that it would be better if you would use standard Bills’ diagram. My oppinion is that general Bills’ diagram is about »comparator« that represent »one neuron« or all »nervous system«. So introducing new »comparator« into general picture and double »outputs« could mean that you introduce new »nervous system« and multiple and separated acting on environment. My oppinion is that »nervous system« does not operate in this way.

I attached one of his diagrams where »branching of perceptual signal« is not divided on the same level to many comparators and many outputs. I think that this Bills’ diagram is more in accordance with physiological facts and it more fits into general »picture« how nervous system function. And I think it’s better to use his explanation in his books without using any Ricks’ imagination constructs and his literature which is by my oppinion useless for PCT explanations. I’d advise you using Bills’ literature and his explanations of PCT.

Boris

image001118.png

···

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

Martin,

did you men something like this:

cid:image001.png@01D3182D.8C89C370

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

-----Alkuperäinen viesti-----
Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Lähetetty: 16. elokuutata 2017 8:13
Vastaanottaja: csgnet@lists.illinois.edu
Aihe: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I

referred to having different (yet connected) control systems for the

right and left positions of the car in its lane. That was my way of

getting around situations Rick raised where r might larger than p or p

might be larger than r, suggesting a negative or positive error yet

only positive neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn’t have to have zero output for the car being in the middle of its lane, so you don’t need separate ones for left of centre and right of centre.

Martin

[Martin Taylor 2017.08.19.23.15]

Boris, have you managed to find a way to discover neurons that

output negative firing rates? Without them, how does the structure
in your diagram work? All Eetu’s diagram does is implement Bill’s
diagram using neurons that have only positive firing rates. There
are probably lots of other ways to do it, but Eetu’s diagram adds or
subtracts nothing from or to Bill’s diagram, other than to suggest a
way to make Bill’s structure work with physiologically feasible
neurons. It’s not new.
Martin

image001118.png

···

On 2017/08/19 6:16 PM, Boris Hartman
wrote:

Dear Eetu,

Â

        diagram is

nice, but I’m afraid that it would be better if you would
use standard Bills’ diagram. My oppinion is that general
Bills’ diagram is about »comparator« that represent »one
neuron« or all »nervous system«. So introducing new
»comparator« into general picture and double »outputs« could
mean that you introduce new »nervous system« and multiple
and separated acting on environment. My oppinion is that
»nervous system« does not operate in this way.

Â

        I attached one

of his diagrams where »branching of perceptual signal« is
not divided on the same level to many comparators and many
outputs. I think that this Bills’ diagram is more in
accordance with physiological facts and it more fits into
general »picture« how nervous system function. And I think
it’s better to use his explanation in his books without
using any Ricks’ imagination constructs and his literature
which is by my oppinion useless for PCT explanations. I’d
advise you using Bills’ literature and his explanations of
PCT.

Â

Boris

Â

From:
Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi ]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only
positive neural signals

Â

Martin,

Â

        did you men something

like this:

Â

Â

Eetu

        Â  Please, regard all my

statements as questions,

        Â  no matter how they are

formulated.

Â

-----Alkuperäinen viesti-----

        Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]

        Lähetetty: 16. elokuutata 2017 8:13

        Vastaanottaja: csgnet@lists.illinois.edu

        Aihe: Re: Dealing with the limitation of only positive

neural signals

Â

        [Martin Taylor

2017.08.16.01.06]

Â

Â

        > [From Fred Nickols

(2017.08.15.1537 ET)]

Â

Martin:

Â

        > The attached .jpg

diagram illustrates what I was talking about when I

        > referred to having

different (yet connected) control systems for the

        > right and left

positions of the car in its lane. That was my way of

        > getting around

situations Rick raised where r might larger than p or p

        > might be larger

than r, suggesting a negative or positive error yet

        > only positive

neural signals are known to exist. Does it fit with the way
you see it?

Â

Â

        Not quite. I would have

only one perceiving function and one reference value signal.
Those signals would be sent to two comparators, one of which
would have zero output if the error were rightward and the
other would have zero output if the error were leftward.
Otherwise, I think the rest of it more or less coincides
with my view. The perceiver doesn’t have to have zero output
for the car being in the middle of its lane, so you don’t
need separate ones for left of centre and right of centre.

Â

Martin

Â

[From Rick Marken (2017.08.20.1710)]

2 level parallel control.xlsx (13.5 KB)

···

Martin Taylor (2017.08.19.23.15)–

MT: Boris, have you managed to find a way to discover neurons that

output negative firing rates? Without them, how does the structure
in your diagram work?

RM: As promised, attached is a spreadsheet hierarchy of “positive neural signals” only control systems; control systems that have parallel comparator outputs for opposing output effects on lower order references or controlled variables. There are two lower and two higher level control systems. The lower level control systems control a perception of the physical variables, X. 1 and X. 2. Since the perceptions of these variables (P,1,i) are neural signals they are constrained to be positive. The two higher level systems control perceptions that are functions of the two lower level perceptions so that one system is controlling a perception that corresponds to X.1+X.2 and the other controls a perception that corresponds to X.1-X.2.Â

RM: The system works extremely well but, because the neural signals can only be positive, the reference for the perception of X.1+X.2 must be greater than or equal to the reference for the perception of X.1-X.2 or there is conflict. This is kind of an interesting discovery about the behavior in a control hierarchy where all the signals must be positive; It means that perceptual functions that are mathematically orthogonal (such as X.1+X.2. and X.1-X.2) are not really necessarily orthogonal in such a system. This is another way that a real living control system hierarchy could get itself into trouble (conflict) without even knowing why.Â

RM: The spreadsheet is built so that you can experiment with changing the references for the highest level systems (bu putting numbers into the green cells) but you are constrained by the spreadsheet to be unable to enter a reference for X.1-X.2 that is larger than the reference for X.1+X.2.Â

RM: I also show (in the lower left) that this hierarchy is controlling four different functions of the two physical variables in the environment, X.1 and X.2. So there are actually four Qi’s being controlled by this hierarchy, all these Qi’s being a function of the same environment at the same time. These Qi’s is are computed by the observer of the external behavior of the hierarchy; the computation of each Q.i corresponds to the perceptual function of the system in the hierarchy that perceives and controls that quantity.Â

RM: Comments and questions are welcome.

BestÂ

Rick

Richard S. MarkenÂ

"Perfection is achieved not when you have nothing more to add, but when you
have nothing left to take away.�
                --Antoine de Saint-Exupery

Martin

image001118.png

···

From: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Sent: Sunday, August 20, 2017 5:21 AM
To: csgnet@lists.illinois.edu
Subject: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.19.23.15]

On 2017/08/19 6:16 PM, Boris Hartman wrote:

Dear Eetu,

diagram is nice, but I’m afraid that it would be better if you would use standard Bills’ diagram. My oppinion is that general Bills’ diagram is about »comparator« that represent »one neuron« or all »nervous system«. So introducing new »comparator« into general picture and double »outputs« could mean that you introduce new »nervous system« and multiple and separated acting on environment. My oppinion is that »nervous system« does not operate in this way.

Boris, have you managed to find a way to discover neurons that output negative firing rates?

Without them, how does the structure in your diagram work? All Eetu’s diagram does is implement Bill’s diagram using neurons that have only positive firing rates.

HB : I don’t understand what you are talking about. Who was talking about positive and negative firing rates ? Neurons fire in quite exact way. First I’d like to see if you understand how ?

MT : There are probably lots of other ways to do it,

HB : Â

You mean other physiological ways to do it ? Or which other ways ? Can you show me some examples from Bll’s literature. It could be that I didin’t understand right what your diagram was about.

MT : …but Eetu’s diagram addss or subtracts nothing from or to Bill’s diagram, other than to suggest a way to make Bill’s structure work with physiologically feasible neurons.

HB : As I said maybe I missed something. So could you please show me physiological plausability of such diagram with one »input function« in organism (choose receptor) and affent neuron or in your case neurons, how this really works in organism ? I expect you also to show me how neurons in such a double diagram physiologically fires ? And of course how these neurons will connect to »output« ? If as you said everything work with physiologically feasible neurons.

Boris

Martin

I attached one of his diagrams where »branching of perceptual signal« is not divided on the same level to many comparators and many outputs. I think that this Bills’ diagram is more in accordance with physiological facts and it more fits into general »picture« how nervous system function. And I think it’s better to use his explanation in his books without using any Ricks’ imagination constructs and his literature which is by my oppinion useless for PCT explanations. I’d advise you using Bills’ literature and his explanations of PCT.

Boris

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

Martin,

did you men something like this:

mailbox:///Users/mmt/Documents/Thunderbird_data/Mail/mmt-csg/Inbox?number=299398552&header=quotebody&part=1.1.2&filename=image001.png

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

-----Alkuperäinen viesti-----
Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Lähetetty: 16. elokuutata 2017 8:13
Vastaanottaja: csgnet@lists.illinois.edu
Aihe: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I

referred to having different (yet connected) control systems for the

right and left positions of the car in its lane. That was my way of

getting around situations Rick raised where r might larger than p or p

might be larger than r, suggesting a negative or positive error yet

only positive neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn’t have to have zero output for the car being in the middle of its lane, so you don’t need separate ones for left of centre and right of centre.

Martin

[From Fred Nickols (2017.08.21.0746 ET)]

Boris:

The other day you asserted that behavior is not control. This was tied to my use of a quote from Alex’ book chapter.

Given that you are such a fierce defender of PCT per Bill Powers, I don’t understand why you would object to the assertion that behavior is control. After all, Bill’s seminal work is titled “Behavior: The Control of Perception.â€? That’s the same as saying “Behavior is control of perceptionâ€? and, more succinctly, “Behavior is control.â€?Â

So, Boris, please clarify: What is your objection to saying that “Behavior is control�?

Fred Nickols

image001118.png

···

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 7:26 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Martin

From: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Sent: Sunday, August 20, 2017 5:21 AM
To: csgnet@lists.illinois.edu
Subject: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.19.23.15]

On 2017/08/19 6:16 PM, Boris Hartman wrote:

Dear Eetu,

diagram is nice, but I’m afraid that it would be better if you would use standard Bills’ diagram. My oppinion is that general Bills’ diagram is about »comparator« that represent »one neuron« or all »nervous system«. So introducing new »comparator« into general picture and double »outputs« could mean that you introduce new »nervous system« and multiple and separated acting on environment. My oppinion is that »nervous system« does not operate in this way.

Boris, have you managed to find a way to discover neurons that output negative firing rates?

Without them, how does the structure in your diagram work? All Eetu’s diagram does is implement Bill’s diagram using neurons that have only positive firing rates.

HB : I don’t understand what you are talking about. Who was talking about positive and negative firing rates ? Neurons fire in quite exact way. First I’d like to see if you understand how ?

MT : There are probably lots of other ways to do it,

HB :

You mean other physiological ways to do it ? Or which other ways ? Can you show me some examples from Bll’s literature. It could be that I didin’t understand right what your diagram was about.

MT : …but Eetu’'s diagram adds or subtracts nothing from or to Bill’s diagram, other than to suggest a way to make Bill’s structure work with physiologically feasible neurons.

HB : As I said maybe I missed something. So could you please show me physiological plausability of such diagram with one »input function« in organism (choose receptor) and affent neuron or in your case neurons, how this really works in organism ? I expect you also to show me how neurons in such a double diagram physiologically fires ? And of course how these neurons will connect to »output« ? If as you said everything work with physiologically feasible neurons.

Boris

Martin

I attached one of his diagrams where »branching of perceptual signal« is not divided on the same level to many comparators and many outputs. I think that this Bills’ diagram is more in accordance with physiological facts and it more fits into general »picture« how nervous system function. And I think it’s better to use his explanation in his books without using any Ricks’ imagination constructs and his literature which is by my oppinion useless for PCT explanations. I’d advise you using Bills’ literature and his explanations of PCT.

Boris

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

Martin,

did you men something like this:

mailbox:///Users/mmt/Documents/Thunderbird_data/Mail/mmt-csg/Inbox?number=299398552&header=quotebody&part=1.1.2&filename=image001.png

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

-----Alkuperäinen viesti-----
Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Lähetetty: 16. elokuutata 2017 8:13
Vastaanottaja: csgnet@lists.illinois.edu
Aihe: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I

referred to having different (yet connected) control systems for the

right and left positions of the car in its lane. That was my way of

getting around situations Rick raised where r might larger than p or p

might be larger than r, suggesting a negative or positive error yet

only positive neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn’t have to have zero output for the car being in the middle of its lane, so you don’t need separate ones for left of centre and right of centre.

Martin

Hi Fred

image001118.png

···

From: Fred Nickols [mailto:fred@nickols.us]
Sent: Monday, August 21, 2017 1:50 PM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

[From Fred Nickols (2017.08.21.0746 ET)]

Boris:

The other day you asserted that behavior is not control. This was tied to my use of a quote from Alex’ book chapter.

Given that you are such a fierce defender of PCT per Bill Powers,

HB : Thanks you for noticing that Fred. I can’t deny this “fact� JJ. But I’m said as it seems that I’m the only one.

FN : …I don’t understand why you wwould object to the assertion that behavior is control.

HB : I object to the assertation that “Behavior is controlâ€? because of the consequences it takes. If “Behavior is controlâ€?, then there is some “controlled variableâ€? in environment, and there is some “Controlled Perceptual variableâ€? or CPV and so on. These are things that don’t exist in PCT. It’s RCT (Ricks’ Control Theory). Â

FN : After all, Bill’s seminal work is titled “Behavior: The Control of Perception.� That’s the same as saying “Behavior is control of perception� and, more succinctly, “Behavior is control.�

HB : Sorry Fred to say but it seems to me that you are simplifying too much. Â

“Behavior : the Control of Perception� is more look like “Behavior is result of Control Of Perception� what you can clearly see from diagram (LCS III) where behavior (output) is activated by “error� signal which is result of control of perception.

cid:image002.jpg@01D2E396.F40C1DC0

Even if you make conclusion that “Behavior is Control of Perception� it sounds more as “Behavior coming after control of perception�. How can you conclude that “Behavior is controlling perception� ?

But saying “behavior is control� you need physiological evidences that muscle tension can be controlled, what was clearly proved by Bill that is impossible. If you think that he was wrong than be it so.

FN : So, Boris, please clarify: What is your objection to saying that “Behavior is control�?

As I said above :

  1.   “Behavior is control� leads to wrong RCT theory which all elements are not present in PCT. I presented it so many times that you probably know it.
    
  2.   Bill gave physiological evidences (see B:CP) that direct muscle tension control is impossible without proprioception and other perception sources. Maybe somebody can prove that he was wrong.
    
  3.   In PCT “Output� is not defined as “Controlled output� or “Controlled effects� to environment as Rick is trying to present it. There is no “controlled effects� to environment thus “Behavior is not control�.
    

Bill P (B:CP):

OUTPUT FUNCTION : The portion of a system that converts the magnitude or state of a signal inside the system into a corresponding set of effects on the immediate environment of the system

LCS III :…the outputt function shown in it’s own box represents the means this system has for causing changes in it’s environment

  1.   Afterall we are on CSGnet forum which I assume is dedicated to Bill and Mary and PCT which main conclussion is “Control of Perception�.
    

Mary Powers :

PCT requires a major shift in thinking from the traditional approach : that what is controlled is not behavior, but perception.

Bill Powers :

In order to control is absolutely necesary to perceive. Our senses and further neural equipment that builds abstract perceptions out of simple ones, provide us with a world to experience and it is only that experienced world that we can control.

With all respect to you Fred,

Boris

P.S. I really hope that you’ll be the second “fierce defender of PCTâ€?… J

Fred Nickols

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 7:26 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Martin

From: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Sent: Sunday, August 20, 2017 5:21 AM
To: csgnet@lists.illinois.edu
Subject: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.19.23.15]

On 2017/08/19 6:16 PM, Boris Hartman wrote:

Dear Eetu,

diagram is nice, but I’m afraid that it would be better if you would use standard Bills’ diagram. My oppinion is that general Bills’ diagram is about »comparator« that represent »one neuron« or all »nervous system«. So introducing new »comparator« into general picture and double »outputs« could mean that you introduce new »nervous system« and multiple and separated acting on environment. My oppinion is that »nervous system« does not operate in this way.

Boris, have you managed to find a way to discover neurons that output negative firing rates?

Without them, how does the structure in your diagram work? All Eetu’s diagram does is implement Bill’s diagram using neurons that have only positive firing rates.

HB : I don’t understand what you are talking about. Who was talking about positive and negative firing rates ? Neurons fire in quite exact way. First I’d like to see if you understand how ?

MT : There are probably lots of other ways to do it,

HB :

You mean other physiological ways to do it ? Or which other ways ? Can you show me some examples from Bll’s literature. It could be that I didin’t understand right what your diagram was about.

MT : …but Eetu’s diagram adds or subtracts nothing from or to Billl’s diagram, other than to suggest a way to make Bill’s structure work with physiologically feasible neurons.

HB : As I said maybe I missed something. So could you please show me physiological plausability of such diagram with one »input function« in organism (choose receptor) and affent neuron or in your case neurons, how this really works in organism ? I expect you also to show me how neurons in such a double diagram physiologically fires ? And of course how these neurons will connect to »output« ? If as you said everything work with physiologically feasible neurons.

Boris

Martin

I attached one of his diagrams where »branching of perceptual signal« is not divided on the same level to many comparators and many outputs. I think that this Bills’ diagram is more in accordance with physiological facts and it more fits into general »picture« how nervous system function. And I think it’s better to use his explanation in his books without using any Ricks’ imagination constructs and his literature which is by my oppinion useless for PCT explanations. I’d advise you using Bills’ literature and his explanations of PCT.

Boris

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

Martin,

did you men something like this:

mailbox:///Users/mmt/Documents/Thunderbird_data/Mail/mmt-csg/Inbox?number=299398552&header=quotebody&part=1.1.2&filename=image001.png

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

-----Alkuperäinen viesti-----
Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Lähetetty: 16. elokuutata 2017 8:13
Vastaanottaja: csgnet@lists.illinois.edu
Aihe: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I

referred to having different (yet connected) control systems for the

right and left positions of the car in its lane. That was my way of

getting around situations Rick raised where r might larger than p or p

might be larger than r, suggesting a negative or positive error yet

only positive neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn’t have to have zero output for the car being in the middle of its lane, so you don’t need separate ones for left of centre and right of centre.

Martin

[From Fred Nickols (2017.08.21.1202 ET)]

Boris:

From the Glossary of B:CP, 2nd Edition (2005) page 296:

CONTROLLED QUANTITY:  An environmental variable corresponding to the perceptual signal in a control system; a physical quantity (or a function of several physical quantities) that is affected and controlled by the outputs from a control system’s output function. Boris, please note Bill’s use of “controlled by.�

In the diagram you included below, the controlled quantity is the input quantity. If, as Bill indicated, the controlled quantity is an environmental variable, then I see little difference between “controlled quantity� and “controlled variable.�

When Rick uses “controlled variable� I understand him to mean the controlled quantity or input quantity, which is what Bill spelled out. (If Rick doesn’t mean that, let him say so.)

You also say that the error signal is the result of the control of perception. I don’t see it that way, Boris. So far as I know, an error signal is the result of comparing a perceptual signal with a reference signal. Any difference between the two creates an error signal which leads to output that affects the controlled quantity or input quantity and thus alters the perceptual signal. The output, behavior, serves to control the input, perception. Hence the title of Bill’s book: Behavior: The Control of Perception.�

Fred Nickols

image001118.png

···

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 11:56 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Hi Fred

From: Fred Nickols [mailto:fred@nickols.us]
Sent: Monday, August 21, 2017 1:50 PM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

[From Fred Nickols (2017.08.21.0746 ET)]

Boris:

The other day you asserted that behavior is not control. This was tied to my use of a quote from Alex’ book chapter.

Given that you are such a fierce defender of PCT per Bill Powers,

HB : Thanks you for noticing that Fred. I can’t deny this “fact� JJ. But I’m said as it seems that I’m the only one.

FN : …I don’t understand why you would object to the asserttion that behavior is control.

HB : I object to the assertation that “Behavior is control� because of the consequences it takes. If “Behavior is control�, then there is some “controlled variable� in environment, and there is some “Controlled Perceptual variable� or CPV and so on. These are things that don’t exist in PCT. It’s RCT (Ricks’ Control Theory).

FN : After all, Bill’s seminal work is titled “Behavior: The Control of Perception.� That’s the same as saying “Behavior is control of perception� and, more succinctly, “Behavior is control.�

HB : Sorry Fred to say but it seems to me that you are simplifying too much.

“Behavior : the Control of Perception� is more look like “Behavior is result of Control Of Perception� what you can clearly see from diagram (LCS III) where behavior (output) is activated by “error� signal which is result of control of perception.

cid:image002.jpg@01D2E396.F40C1DC0

Even if you make conclusion that “Behavior is Control of Perception� it sounds more as “Behavior coming after control of perception�. How can you conclude that “Behavior is controlling perception� ?

But saying “behavior is control� you need physiological evidences that muscle tension can be controlled, what was clearly proved by Bill that is impossible. If you think that he was wrong than be it so.

FN : So, Boris, please clarify: What is your objection to saying that “Behavior is control�?

As I said above :

  1. “Behavior is control� leads to wrong RCT theory which all elements are not present in PCT. I presented it so many times that you probably know it.

  2. Bill gave physiological evidences (see B:CP) that direct muscle tension control is impossible without proprioception and other perception sources. Maybe somebody can prove that he was wrong.

  3. In PCT “Output� is not defined as “Controlled output� or “Controlled effects� to environment as Rick is trying to present it. There is no “controlled effects� to environment thus “Behavior is not control�.

Bill P (B:CP):

OUTPUT FUNCTION : The portion of a system that converts the magnitude or state of a signal inside the system into a corresponding set of effects on the immediate environment of the system

LCS III :…the output funnction shown in it’s own box represents the means this system has for causing changes in it’s environment

  1. Afterall we are on CSGnet forum which I assume is dedicated to Bill and Mary and PCT which main conclussion is “Control of Perception�.

Mary Powers :

PCT requires a major shift in thinking from the traditional approach : that what is controlled is not behavior, but perception.

Bill Powers :

In order to control is absolutely necesary to perceive. Our senses and further neural equipment that builds abstract perceptions out of simple ones, provide us with a world to experience and it is only that experienced world that we can control.

With all respect to you Fred,

Boris

P.S. I really hope that you’ll be the second “fierce defender of PCTâ€?… J

Fred Nickols

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 7:26 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Martin

From: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Sent: Sunday, August 20, 2017 5:21 AM
To: csgnet@lists.illinois.edu
Subject: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.19.23.15]

On 2017/08/19 6:16 PM, Boris Hartman wrote:

Dear Eetu,

diagram is nice, but I’m afraid that it would be better if you would use standard Bills’ diagram. My oppinion is that general Bills’ diagram is about »comparator« that represent »one neuron« or all »nervous system«. So introducing new »comparator« into general picture and double »outputs« could mean that you introduce new »nervous system« and multiple and separated acting on environment. My oppinion is that »nervous system« does not operate in this way.

Boris, have you managed to find a way to discover neurons that output negative firing rates?

Without them, how does the structure in your diagram work? All Eetu’s diagram does is implement Bill’s diagram using neurons that have only positive firing rates.

HB : I don’t understand what you are talking about. Who was talking about positive and negative firing rates ? Neurons fire in quite exact way. First I’d like to see if you understand how ?

MT : There are probably lots of other ways to do it,

HB :

You mean other physiological ways to do it ? Or which other ways ? Can you show me some examples from Bll’s literature. It could be that I didin’t understand right what your diagram was about.

MT : …but Eetu’s diagram adds or subtracts nothing from or to Bill’s diagram, other than to suggest a way to make Bill’s structure work with physiologically feasible neurons.

HB : As I said maybe I missed something. So could you please show me physiological plausability of such diagram with one »input function« in organism (choose receptor) and affent neuron or in your case neurons, how this really works in organism ? I expect you also to show me how neurons in such a double diagram physiologically fires ? And of course how these neurons will connect to »output« ? If as you said everything work with physiologically feasible neurons.

Boris

Martin

I attached one of his diagrams where »branching of perceptual signal« is not divided on the same level to many comparators and many outputs. I think that this Bills’ diagram is more in accordance with physiological facts and it more fits into general »picture« how nervous system function. And I think it’s better to use his explanation in his books without using any Ricks’ imagination constructs and his literature which is by my oppinion useless for PCT explanations. I’d advise you using Bills’ literature and his explanations of PCT.

Boris

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

Martin,

did you men something like this:

mailbox:///Users/mmt/Documents/Thunderbird_data/Mail/mmt-csg/Inbox?number=299398552&header=quotebody&part=1.1.2&filename=image001.png

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

-----Alkuperäinen viesti-----
Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Lähetetty: 16. elokuutata 2017 8:13
Vastaanottaja: csgnet@lists.illinois.edu
Aihe: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I

referred to having different (yet connected) control systems for the

right and left positions of the car in its lane. That was my way of

getting around situations Rick raised where r might larger than p or p

might be larger than r, suggesting a negative or positive error yet

only positive neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn’t have to have zero output for the car being in the middle of its lane, so you don’t need separate ones for left of centre and right of centre.

Martin

[From Erling Jorgensen (2017.08.21 1640 EDT)]

Rick Marken (2017.08.16.1120)

RM: I am also building a hierarchical version of this “parallel comparator” architecture, which is a bit more challenging but necessary since control must be based on positive neural signals at all levels of the nervous system.

RM: But, again, my aim in broaching this topic was to point out that a control model implies that we should find some kind of implementation of this “parallel comparator” architecture throughout the nervous system. I was hoping that the neurophysiology experts on CSGNet would be able to speak to this. Specifically, I would like to know if there evidence of an architecture existing in the nervous system that is like the one shown in Eetu’s diagram and my spreadsheet? If such architectures are found, especially at higher levels of the nervous system, I think it would be very strong physiological evidence that the nervous system is organized as a (most likely hierarchical) complex of input control systems.

EJ: I believe there is the kind of neurophysiological evidence that you are asking about. One of my contributions to the Living Control Systems IV volume is tentatively titled, “Thalamus Through a PCT Microscope.” It documents two kinds of connections onto thalamic relay cells, which I claim makes them serve as PCT Comparators. One is a sign-inverted Reference signal, descending from layer 6 in the cortex, which passes through the thalamic reticular formation so that it forms an inhibitory connection onto the thalamic relay cell, which is also receiving ascending excitatory sensory (i.e., Perceptual) input.

EJ: The other connection is by way of ascending “dendritic triads.” This seems to be a way for the sensory information of the Perception to be sign-inverted, so that its inhibitory effects are essentially subtracted from an excitatory copy of the descending Reference input. The details are a little complicated, in terms of fast- and slow-acting receptors in the dendrites. I try to spell out all the connections in my forthcoming paper. But the net effect is to have bi-directional comparators, with error signals that can pull in either direction.

EJ: So I guess this is a For Your Information / “Watch This Space” kind of notification, that yes, I believe the neurophysiology supports the kind of brain connections needed to implement aspects of a PCT wiring diagram, albeit a little more complex than the bare-bones model.

All the best,

Erling

[Martin Taylor 2017.08.21.18.00]

[From Erling Jorgensen (2017.08.21 1640 EDT)]

Rick Marken (2017.08.16.1120)

        EJ:  I believe there is the kind of neurophysiological

evidence that you are asking about. One of my contributions
to the Living Control Systems IV volume is tentatively
titled, “Thalamus Through a PCT Microscope.” It documents
two kinds of connections onto thalamic relay cells, which I
claim makes them serve as PCT Comparators. One is a
sign-inverted Reference signal, descending from layer 6 in
the cortex, which passes through the thalamic reticular
formation so that it forms an inhibitory connection onto the
thalamic relay cell, which is also receiving ascending
excitatory sensory (i.e., Perceptual) input.

        EJ:  The other connection is by way of ascending

“dendritic triads.” This seems to be a way for the sensory
information of the Perception to be sign-inverted, so that
its inhibitory effects are essentially subtracted from an
excitatory copy of the descending Reference input. The
details are a little complicated, in terms of fast- and
slow-acting receptors in the dendrites. I try to spell out
all the connections in my forthcoming paper. But the net
effect is to have bi-directional comparators, with error
signals that can pull in either direction.

        EJ:  So I guess this is a For Your Information / "Watch

This Space" kind of notification, that yes, I believe the
neurophysiology supports the kind of brain connections
needed to implement aspects of a PCT wiring diagram, albeit
a little more complex than the bare-bones model.

All the best,

Erling

Erling, is the attached anything like what you are talking about?

Martin

two-way_comparator_extract.pdf (106 KB)

[From Rick Marken (2017.08.21.1515)]

···

 Erling Jorgensen (2017.08.21 1640 EDT)–

RM: But, again, my aim in broaching this topic was to point out that a control model implies that we should find some kind of implementation of this “parallel comparator” architecture throughout the nervous system. I was hoping that the neurophysiology experts on CSGNet would be able to speak to this. Specifically, I would like to know if there evidence of an architecture existing in the nervous system that is like the one shown in Eetu’s diagram and my spreadsheet? If such architectures are found, especially at higher levels of the nervous system, I think it would be very strong physiological evidence that the nervous system is organized as a (most likely hierarchical) complex of input control systems.Â

EJ: I believe there is the kind of neurophysiological evidence that you are asking about. One of my contributions to the Living Control Systems IV volume is tentatively titled, "Thalamus Through a PCT Microscope." It documents two kinds of connections onto thalamic relay cells, which I claim makes them serve as PCT Comparators.Â

Â

RM: Thanks you, thank you Erling! This is exactly what I was looking for! I had no idea that you were such a neurophysiology maven! I am really looking forward to seeing your paper on this in LCS IV. What did you think of spreadsheet model, by the way? Maybe we could label it with the appropriate thalamus connections and show how control systems might actually be implemented in the NS.Â

Best regards

Rick

Â

One is a sign-inverted Reference signal, descending from layer 6 in the cortex, which passes through the thalamic reticular formation so that it forms an inhibitory connection onto the thalamic relay cell, which is also receiving ascending excitatory sensory (i.e., Perceptual) input.Â

EJ: The other connection is by way of ascending "dendritic triads." This seems to be a way for the sensory information of the Perception to be sign-inverted, so that its inhibitory effects are essentially subtracted from an excitatory copy of the descending Reference input. The details are a little complicated, in terms of fast- and slow-acting receptors in the dendrites. I try to spell out all the connections in my forthcoming paper. But the net effect is to have bi-directional comparators, with error signals that can pull in either direction.Â

EJ:Â So I guess this is a For Your Information / “Watch This Space” kind of notification, that yes, I believe the neurophysiology supports the kind of brain connections needed to implement aspects of a PCT wiring diagram, albeit a little more complex than the bare-bones model.Â

All the best,

Erling


Disclaimer: This message is intended only for the use of the individual or entity to which it is addressed, and may contain information that is privileged, confidential and exempt from disclosure under applicable law. If the reader of this message is not the intended recipient, or the employer or agent responsible for delivering the message to the intended recipient, you are hereby notified that any dissemination, distribution or copying of this communication is strictly prohibited. If you have received this communication in error, please notify the sender immediately by telephone and delete the material from your computer. Thank you for your cooperation.

Â

Richard S. MarkenÂ

"Perfection is achieved not when you have nothing more to add, but when you
have nothing left to take away.�
                --Antoine de Saint-Exupery

Hi Fred,

Please if you consider all other evidences that show that only »Perception is controlled«. By choosing rare examples when Bill could »change his mind« (he admitted that some times our discussion is useless. You see only that very rare places where Bill could make a mistake.

So consider which evidences prevail. And please read our discussions with Rick because I’m tyred of repeating evidences so many times. I hope you understand…

image001118.png

···

From: Fred Nickols [mailto:fred@nickols.us]
Sent: Monday, August 21, 2017 6:16 PM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

[From Fred Nickols (2017.08.21.1202 ET)]

Boris:

From the Glossary of B:CP, 2nd Edition (2005) page 296:

CONTROLLED QUANTITY: An environmental variable corresponding to the perceptual signal in a control system; a physical quantity (or a function of several physical quantities) that is affected and controlled by the outputs from a control system’s output function. Boris, please note Bill’s use of “controlled by.�

HB : This is true and I once gave my interpretation. This is a very rare place in Bills literature where Bill used “control� and environment. But which environment is meant here ? You can make your own interpretation. And beside that this is the only place among other definitions of control loop that Bill is using “control and environment�. This is no proof that “controlled variables� are in environment, because according to other definitions in B:CP outer environment is affected by output, not controlled.

So I assume “control of environment� can be only possible if we assume that Bill use it for internal environment which is controlled (temperature, concentrations of ions…). So

“affected and controlledâ€? could mean that internal environment is controlled as you will see it in definition of control… and outer environment is affected…

Bill P (B:CP) :

CONTROL : Achievement and maintenance of a preselected state in the controlling system, through actions on the environment that also cancel the effects of disturbances.

HB : There is no doubt that control in PCT is meant for internal environment not external. Actions through environment can be to both environments where disturbances are cancelled. But control is going on just in organism (in the controlling system).

You and Rick are to much orienting to external environment where you can see the effects of internal control. But that’s not control.

By one unclear case you can’t conclude on whole theory. Other definitions in B:CP show that there is no control in outer environment. So there is no control in outer environment. Inner environment of LCS is controlled to certain constant conditions.  Here are other definitions of control loop. Show me where you see that outer environment is controlled.

»PERCEPTUAL CONTROL LOOP« of PCT (Perceptual Control Theory) look like this :

Bill P (B:CP):

  1.   OUTPUT FUNCTION : The portion of a system that converts the magnitude or state of a signal inside the system into a corresponding set of effects on the immediate environment of the system
    

(LCS III):…the output function shown in it’s own box repreesents the means this system has for causing changes in it’s environment.

Bill P (LCS III):

  1.   FEED-BACK FUNCTION : The box represents the set of physical laws, properties, arrangements, linkages, by which the action of this system feeds-back to affect its own input, the controlled variable. That's what feed-back means : it's an effect of a system's output on it's own input.
    

Bill P (B:CP) :

  1.   INPUT FUNCTION : The portion of a system that receives  signals or stimuli from outside the system, and generates a perceptual signal that is some function of the received signals or stimuli.
    

Bill P (B:CP) :

  1.   COMPARATOR : The portion of control system that computes the magnitude and direction of mismatch between perceptual and reference signal.
    

HB Definition and other loop sequences of control loop are inevitably showing it’s connection to state in the controlling system. And other are in accordance to it.

CONTROLLED QUANTITY is also on some places defined in B:CP (2005) so it makes it more clear.

Bill P (B:CP, 2005):

Consider once again the meaning of the term controlled quantity. A controlled quantity is controlled only because it is detected by a control system, compared with a reference, and affected by outputs based on the error thus detected. The controlled quantity is defined strictly by the behaving system’s perceptual computers; it may or may not be identifiable as an objective (need I put in quotes?) property of, or entity in, the physical environment. In general an observer will not, therefore, be able to see what a control system is controlling

And there are quite some explanations of “controlled quantity� in other Bills literature.

Bill P (LCS I) :

Every Living Control System must have certain major features**.** The system must be organized for negative (not positive) feedback, and it must be dynamically stable – it must not itself create errors that keep it hunting about the final steady state conditions. The Living Control System of this kind must sense the controlled quantity in each dimenssion in which the quantity is to be controlled; this implies the inner model of the quantity in the form of a signal or set of signals. It must contain or be given something equivalent to a reference signal (or multiple reference signals) which specifies the »desired« state of the controlled quantity that is to be controlled. The sensor signal and the reference signal must be compared, and the resulting error signal must actuate the system’s output effectors or outputs. And finally, the system’s output must be able to affect the controlled quantity in each dimension that is to be controlled. This makes the action the clearest. The system, above the dashed line, is organized normally so as to maintain the sesnor signal at all times nearly equal to the reference signal even a changing reference signal. This is how control is achieved and maintained. The sensor signal and input quantity become primarilly a function of the reference signal originated inside the system.

HB :

I hope you noticed that controlled quantity is used in “future tense� so it will be controlled after it is affected in environment. Comparator is the only place where control is going on. Other function are important but supporting.

The last time I forgot to put one more evidence that “Behavior is not control�.

Henry Yin (article) :

4.2. Control of Input. A control system always controls its input, not output [7]. Only perceivable consequences of behavior can be controlled.

According to mainstream engineering control theory, a control system controls its outputs, not its input. This is perhaps the most common fallacy today, both in engineering and in the life sciences [49, 55, 56]. This fallacy, an unfortunate legacy of cybernetics, is the result of imposing the perspective of the observer rather than using the perspective of the organism or controller. The mistake is to assume that what the engineer perceives and records, the “objective� effect of the system, is the output of the system.

HY :

As a result of these conceptual confusions, in traditional models negative feedback is always misunderstood. Placing the comparator outside the organism has the unintended effect of inverting the inside and outside of the system (Figure 5).What should be part of the organism is considered to be a part of the environment, and what should be part of the environment, namely, the feedback function, is considered a part of the organism. Consequently, the equations that describe how forces act on loads and accelerations and decelerations of the loads are assumed to be computed by the nervous system [50]. These conceptual confusions have largely prevented any progress in the study of behavior for many decades.

HB : Now all I’m asking you is to find one Bills diagram with “controlled variable� in environment. If you will not find it there is no controlled variable in environment in PCT and there is no “Control of behavior�  which could control “controlled variable� and there is no “Controlled Perceptual Variable� called CPV by Rick Unless you want to introduce “New force� that can control “controlled variable� in environment� and that is Telekinesis.

There is just “Control of perception�. Perception is the only “controlled variable�. I’ll repeat Ruperts’ opinion fro I don’t know which time :

RY earlier : Sure, a perceptual signal (q.i*g) may correspond to, or be a function of, variable aspects of the environment (q.i) but it is the perceptual signal that is controlled not the variable aspects of the environment.

RY : To control the perception of the sweetness of your lemonade you vary the amount of sugar until the desired sweetness is realised.

Fred if you want to believe that “Behavior is controlâ€? it’s your problem. Feel free to do it so. But it would be good if you would become “fierce defender of PCTâ€?…

So please answer me :

  1.   Do you agree with Bill and Mary Thesis about PCT ?
    
  2.   Do you agree that Bill gave right explanation of “muscle tension� in B:CP ?
    
  3.   Do you agree with diagram in LCS III ?
    
  4.   Do you agree with PCT definition of control ?
    
  5.   Do you agree with Henry Jin explanation of PCT and confusions about “placing the comparator� in outer environment ?
    
  6.   Do you agree with Rupert Young ?
    

If you don’t agree write why you don’t agree. So I’ll wait for your answers.

Best,

Boris

In the diagram you included below, the controlled quantity is the input quantity. If, as Bill indicated, the controlled quantity is an environmental variable, then I see little difference between “controlled quantity� and “controlled variable.�

When Rick uses “controlled variable� I understand him to mean the controlled quantity or input quantity, which is what Bill spelled out. (If Rick doesn’t mean that, let him say so.)

You also say that the error signal is the result of the control of perception. I don’t see it that way, Boris. So far as I know, an error signal is the result of comparing a perceptual signal with a reference signal. Any difference between the two creates an error signal which leads to output that affects the controlled quantity or input quantity and thus alters the perceptual signal. The output, behavior, serves to control the input, perception. Hence the title of Bill’s book: Behavior: The Control of Perception.�

Fred Nickols

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 11:56 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Hi Fred

From: Fred Nickols [mailto:fred@nickols.us]
Sent: Monday, August 21, 2017 1:50 PM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

[From Fred Nickols (2017.08.21.0746 ET)]

Boris:

The other day you asserted that behavior is not control. This was tied to my use of a quote from Alex’ book chapter.

Given that you are such a fierce defender of PCT per Bill Powers,

HB : Thanks you for noticing that Fred. I can’t deny this “fact� JJ. But I’m said as it seems that I’m the only one.

FN : …I don’t understand why you would object to the assertion tthat behavior is control.

HB : I object to the assertation that “Behavior is control� because of the consequences it takes. If “Behavior is control�, then there is some “controlled variable� in environment, and there is some “Controlled Perceptual variable� or CPV and so on. These are things that don’t exist in PCT. It’s RCT (Ricks’ Control Theory).

FN : After all, Bill’s seminal work is titled “Behavior: The Control of Perception.� That’s the same as saying “Behavior is control of perception� and, more succinctly, “Behavior is control.�

HB : Sorry Fred to say but it seems to me that you are simplifying too much.

“Behavior : the Control of Perception� is more look like “Behavior is result of Control Of Perception� what you can clearly see from diagram (LCS III) where behavior (output) is activated by “error� signal which is result of control of perception.

cid:image002.jpg@01D2E396.F40C1DC0

Even if you make conclusion that “Behavior is Control of Perception� it sounds more as “Behavior coming after control of perception�. How can you conclude that “Behavior is controlling perception� ?

But saying “behavior is control� you need physiological evidences that muscle tension can be controlled, what was clearly proved by Bill that is impossible. If you think that he was wrong than be it so.

FN : So, Boris, please clarify: What is your objection to saying that “Behavior is control�?

As I said above :

  1. “Behavior is control� leads to wrong RCT theory which all elements are not present in PCT. I presented it so many times that you probably know it.

  2. Bill gave physiological evidences (see B:CP) that direct muscle tension control is impossible without proprioception and other perception sources. Maybe somebody can prove that he was wrong.

  3. In PCT “Output� is not defined as “Controlled output� or “Controlled effects� to environment as Rick is trying to present it. There is no “controlled effects� to environment thus “Behavior is not control�.

Bill P (B:CP):

OUTPUT FUNCTION : The portion of a system that converts the magnitude or state of a signal inside the system into a corresponding set of effects on the immediate environment of the system

LCS III :…tthe output function shown in it’s own box represents the means this system has for causing changes in it’s environment

  1. Afterall we are on CSGnet forum which I assume is dedicated to Bill and Mary and PCT which main conclussion is “Control of Perception�.

Mary Powers :

PCT requires a major shift in thinking from the traditional approach : that what is controlled is not behavior, but perception.

Bill Powers :

In order to control is absolutely necesary to perceive. Our senses and further neural equipment that builds abstract perceptions out of simple ones, provide us with a world to experience and it is only that experienced world that we can control.

With all respect to you Fred,

Boris

P.S. I really hope that you’ll be the second “fierce defender of PCT�… J

Fred Nickols

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 7:26 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Martin

From: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Sent: Sunday, August 20, 2017 5:21 AM
To: csgnet@lists.illinois.edu
Subject: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.19.23.15]

On 2017/08/19 6:16 PM, Boris Hartman wrote:

Dear Eetu,

diagram is nice, but I’m afraid that it would be better if you would use standard Bills’ diagram. My oppinion is that general Bills’ diagram is about »comparator« that represent »one neuron« or all »nervous system«. So introducing new »comparator« into general picture and double »outputs« could mean that you introduce new »nervous system« and multiple and separated acting on environment. My oppinion is that »nervous system« does not operate in this way.

Boris, have you managed to find a way to discover neurons that output negative firing rates?

Without them, how does the structure in your diagram work? All Eetu’s diagram does is implement Bill’s diagram using neurons that have only positive firing rates.

HB : I don’t understand what you are talking about. Who was talking about positive and negative firing rates ? Neurons fire in quite exact way. First I’d like to see if you understand how ?

MT : There are probably lots of other ways to do it,

HB :

You mean other physiological ways to do it ? Or which other ways ? Can you show me some examples from Bll’s literature. It could be that I didin’t understand right what your diagram was about.

MT : …but Eetu’s diaagram adds or subtracts nothing from or to Bill’s diagram, other than to suggest a way to make Bill’s structure work with physiologically feasible neurons.

HB : As I said maybe I missed something. So could you please show me physiological plausability of such diagram with one »input function« in organism (choose receptor) and affent neuron or in your case neurons, how this really works in organism ? I expect you also to show me how neurons in such a double diagram physiologically fires ? And of course how these neurons will connect to »output« ? If as you said everything work with physiologically feasible neurons.

Boris

Martin

I attached one of his diagrams where »branching of perceptual signal« is not divided on the same level to many comparators and many outputs. I think that this Bills’ diagram is more in accordance with physiological facts and it more fits into general »picture« how nervous system function. And I think it’s better to use his explanation in his books without using any Ricks’ imagination constructs and his literature which is by my oppinion useless for PCT explanations. I’d advise you using Bills’ literature and his explanations of PCT.

Boris

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

Martin,

did you men something like this:

mailbox:///Users/mmt/Documents/Thunderbird_data/Mail/mmt-csg/Inbox?number=299398552&header=quotebody&part=1.1.2&filename=image001.png

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

-----Alkuperäinen viesti-----
Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Lähetetty: 16. elokuutata 2017 8:13
Vastaanottaja: csgnet@lists.illinois.edu
Aihe: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I

referred to having different (yet connected) control systems for the

right and left positions of the car in its lane. That was my way of

getting around situations Rick raised where r might larger than p or p

might be larger than r, suggesting a negative or positive error yet

only positive neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn’t have to have zero output for the car being in the middle of its lane, so you don’t need separate ones for left of centre and right of centre.

Martin

[From Fred Nickols (2017.08.22.1346 ET)]

Thanks for the detailed response, Boris. To cut to the chase, I think I agree with your questions at the end. Now I have a question for you:

Do you agree that in order to control our perceptions our behavior must affect that which we perceive?

It seems to me that if our output (behavior) is to affect our input (perception) the feedback loop must connect our output to and some variable in the environment. If not, there’s no way to control our perceptions.

Fred Nickols

image001118.png

···

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Tuesday, August 22, 2017 1:28 PM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Hi Fred,

Please if you consider all other evidences that show that only »Perception is controlled«. By choosing rare examples when Bill could »change his mind« (he admitted that some times our discussion is useless. You see only that very rare places where Bill could make a mistake.

So consider which evidences prevail. And please read our discussions with Rick because I’m tyred of repeating evidences so many times. I hope you understand…

<

From: Fred Nickols [mailto:fred@nickols.us]
Sent: Monday, August 21, 2017 6:16 PM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

[From Fred Nickols (2017.08.21.1202 ET)]

Boris:

From the Glossary of B:CP, 2nd Edition (2005) page 296:

CONTROLLED QUANTITY: An environmental variable corresponding to the perceptual signal in a control system; a physical quantity (or a function of several physical quantities) that is affected and controlled by the outputs from a control system’s output function. Boris, please note Bill’s use of “controlled by.�

HB : This is true and I once gave my interpretation. This is a very rare place in Bills literature where Bill used “control� and environment. But which environment is meant here ? You can make your own interpretation. And beside that this is the only place among other definitions of control loop that Bill is using “control and environment�. This is no proof that “controlled variables� are in environment, because according to other definitions in B:CP outer environment is affected by output, not controlled.

So I assume “control of environmentâ€? can be only possible if we assume that Bill use it for internal environment which is controlled (temperature, concentrations of ions…). So
<

“affected and controlledâ€? could mean that internal environment is controlled as you will see it in definition of control… and outer environment iis affected…

Bill P (B:CP) :

CONTROL : Achievement and maintenance of a preselected state in the controlling system, through actions on the environment that also cancel the effects of disturbances.

HB : There is no doubt that control in PCT is meant for internal environment not external. Actions through environment can be to both environments where disturbances are cancelled. But control is going on just in organism (in the controlling system).

You and Rick are to much orienting to external environment where you can see the effects of internal control. But that’s not control.

By one unclear case you can’t conclude on whole theory. Other definitions in B:CP show that there is no control in outer environment. So there is no control in outer environment. Inner environment of LCS is controlled to certain constant conditions. Here are other definitions of control loop. Show me where you see that outer environment is controlled.

»PERCEPTUAL CONTROL LOOP« of PCT (Perceptual Control Theory) look like this :

Bill P (B:CP):

  1. OUTPUT FUNCTION : The portion of a system that converts the magnitude or state of a signal inside the system into a corresponding set of effects on the immediate environment of the system

(LCS III):…the output funnction shown in it’s own box represents the means this system has for causing changes in it’s environment.

Bill P (LCS III):

  1. FEED-BACK FUNCTION : The box represents the set of physical laws, properties, arrangements, linkages, by which the action of this system feeds-back to affect its own input, the controlled variable. That’s what feed-back means : it’s an effect of a system’s output on it’s own input.

Bill P (B:CP) :

  1. INPUT FUNCTION : The portion of a system that receives signals or stimuli from outside the system, and generates a perceptual signal that is some function of the received signals or stimuli.

Bill P (B:CP) :

  1. COMPARATOR : The portion of control system that computes the magnitude and direction of mismatch between perceptual and reference signal.

HB Definition and other loop sequences of control loop are inevitably showing it’s connection to state in the controlling system. And other are in accordance to it.

CONTROLLED QUANTITY is also on some places defined in B:CP (2005) so it makes it more clear.

Bill P (B:CP, 2005):

Consider once again the meaning of the term controlled quantity. A controlled quantity is controlled only because it is detected by a control system, compared with a reference, and affected by outputs based on the error thus detected. The controlled quantity is defined strictly by the behaving system’s perceptual computers; it may or may not be identifiable as an objective (need I put in quotes?) property of, or entity in, the physical environment. In general an observer will not, therefore, be able to see what a control system is controlling

And there are quite some explanations of “controlled quantity� in other Bills literature.

Bill P (LCS I) :

Every Living Control System must have certain major features**.** The system must be organized for negative (not positive) feedback, and it must be dynamically stable – it must not itself create errors that keep it huntingg about the final steady state conditions. The Living Control System of this kind must sense the controlled quantity in each dimenssion in which the quantity is to be controlled; this implies the inner model of the quantity in the form of a signal or set of signals. It must contain or be given something equivalent to a reference signal (or multiple reference signals) which specifies the »desired« state of the controlled quantity that is to be controlled. The sensor signal and the reference signal must be compared, and the resulting error signal must actuate the system’s output effectors or outputs. And finally, the system’s output must be able to affect the controlled quantity in each dimension that is to be controlled. This makes the action the clearest. The system, above the dashed line, is organized normally so as to maintain the sesnor signal at all times nearly equal to the reference signal even a changing reference signal. This is how control is achieved and maintained. The sensor signal and input quantity become primarilly a function of the reference signal originated inside the system.

HB :

I hope you noticed that controlled quantity is used in “future tense� so it will be controlled after it is affected in environment. Comparator is the only place where control is going on. Other function are important but supporting.

The last time I forgot to put one more evidence that “Behavior is not control�.

Henry Yin (article) :

4.2. Control of Input. A control system always controls its input, not output [7]. Only perceivable consequences of behavior can be controlled.

According to mainstream engineering control theory, a control system controls its outputs, not its input. This is perhaps the most common fallacy today, both in engineering and in the life sciences [49, 55, 56]. This fallacy, an unfortunate legacy of cybernetics, is the result of imposing the perspective of the observer rather than using the perspective of the organism or controller. The mistake is to assume that what the engineer perceives and records, the “objective� effect of the system, is the output of the system.

HY :

As a result of these conceptual confusions, in traditional models negative feedback is always misunderstood. Placing the comparator outside the organism has the unintended effect of inverting the inside and outside of the system (Figure 5).What should be part of the organism is considered to be a part of the environment, and what should be part of the environment, namely, the feedback function, is considered a part of the organism. Consequently, the equations that describe how forces act on loads and accelerations and decelerations of the loads are assumed to be computed by the nervous system [50]. These conceptual confusions have largely prevented any progress in the study of behavior for many decades.

HB : Now all I’m asking you is to find one Bills diagram with “controlled variable� in environment. If you will not find it there is no controlled variable in environment in PCT and there is no “Control of behavior� which could control “controlled variable� and there is no “Controlled Perceptual Variable� called CPV by Rick Unless you want to introduce “New force� that can control “controlled variable� in environment� and that is Telekinesis.

There is just “Control of perception�. Perception is the only “controlled variable�. I’ll repeat Ruperts’ opinion fro I don’t know which time :

RY earlier : Sure, a perceptual signal (q.i*g) may correspond to, or be a function of, variable aspects of the environment (q.i) but it is the perceptual signal that is controlled not the variable aspects of the environment.

RY : To control the perception of the sweetness of your lemonade you vary the amount of sugar until the desired sweetness is realised.

Fred if you want to believe that “Behavior is controlâ€? it’s your problem. Feel free to do it so. But it would be good if you would become “fierce defender of PCTâ€?…

So please answer me :

  1. Do you agree with Bill and Mary Thesis about PCT ?

  2. Do you agree that Bill gave right explanation of “muscle tension� in B:CP ?

  3. Do you agree with diagram in LCS III ?

  4. Do you agree with PCT definition of control ?

  5. Do you agree with Henry Jin explanation of PCT and confusions about “placing the comparator� in outer environment ?

  6. Do you agree with Rupert Young ?

If you don’t agree write why you don’t agree. So I’ll wait for your answers.

Best,

Boris

In the diagram you included below, the controlled quantity is the input quantity. If, as Bill indicated, the controlled quantity is an environmental variable, then I see little difference between “controlled quantity� and “controlled variable.�

When Rick uses “controlled variable� I understand him to mean the controlled quantity or input quantity, which is what Bill spelled out. (If Rick doesn’t mean that, let him say so.)

You also say that the error signal is the result of the control of perception. I don’t see it that way, Boris. So far as I know, an error signal is the result of comparing a perceptual signal with a reference signal. Any difference between the two creates an error signal which leads to output that affects the controlled quantity or input quantity and thus alters the perceptual signal. The output, behavior, serves to control the input, perception. Hence the title of Bill’s book: Behavior: The Control of Perception.�

Fred Nickols

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 11:56 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Hi Fred

From: Fred Nickols [mailto:fred@nickols.us]
Sent: Monday, August 21, 2017 1:50 PM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

[From Fred Nickols (2017.08.21.0746 ET)]

Boris:

The other day you asserted that behavior is not control. This was tied to my use of a quote from Alex’ book chapter.

Given that you are such a fierce defender of PCT per Bill Powers,

HB : Thanks you for noticing that Fred. I can’t deny this “fact� JJ. But I’m said as it seems that I’m the only one.

FN : …I don’t understand why you would object to the asssertion that behavior is control.

HB : I object to the assertation that “Behavior is control� because of the consequences it takes. If “Behavior is control�, then there is some “controlled variable� in environment, and there is some “Controlled Perceptual variable� or CPV and so on. These are things that don’t exist in PCT. It’s RCT (Ricks’ Control Theory).

FN : After all, Bill’s seminal work is titled “Behavior: The Control of Perception.� That’s the same as saying “Behavior is control of perception� and, more succinctly, “Behavior is control.�

HB : Sorry Fred to say but it seems to me that you are simplifying too much.

“Behavior : the Control of Perception� is more look like “Behavior is result of Control Of Perception� what you can clearly see from diagram (LCS III) where behavior (output) is activated by “error� signal which is result of control of perception.

cid:image002.jpg@01D2E396.F40C1DC0

Even if you make conclusion that “Behavior is Control of Perception� it sounds more as “Behavior coming after control of perception�. How can you conclude that “Behavior is controlling perception� ?

But saying “behavior is control� you need physiological evidences that muscle tension can be controlled, what was clearly proved by Bill that is impossible. If you think that he was wrong than be it so.

FN : So, Boris, please clarify: What is your objection to saying that “Behavior is control�?

As I said above :

  1. “Behavior is control� leads to wrong RCT theory which all elements are not present in PCT. I presented it so many times that you probably know it.

  2. Bill gave physiological evidences (see B:CP) that direct muscle tension control is impossible without proprioception and other perception sources. Maybe somebody can prove that he was wrong.

  3. In PCT “Output� is not defined as “Controlled output� or “Controlled effects� to environment as Rick is trying to present it. There is no “controlled effects� to environment thus “Behavior is not control�.

Bill P (B:CP):

OUTPUT FUNCTION : The portion of a system that converts the magnitude or state of a signal inside the system into a corresponding set of effects on the immediate environment of the system

LCS III :…the output function shown in it’s own box represents the means this system has for causing changes in it’s environment

  1. Afterall we are on CSGnet forum which I assume is dedicated to Bill and Mary and PCT which main conclussion is “Control of Perception�.

Mary Powers :

PCT requires a major shift in thinking from the traditional approach : that what is controlled is not behavior, but perception.

Bill Powers :

In order to control is absolutely necesary to perceive. Our senses and further neural equipment that builds abstract perceptions out of simple ones, provide us with a world to experience and it is only that experienced world that we can control.

With all respect to you Fred,

Boris

P.S. I really hope that you’ll be the second “fierce defender of PCTâ€?… J

Fred Nickols

From: Boris Hartman [mailto:boris.hartman@masicom.net]
Sent: Monday, August 21, 2017 7:26 AM
To: csgnet@lists.illinois.edu
Subject: RE: Dealing with the limitation of only positive neural signals

Martin

From: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Sent: Sunday, August 20, 2017 5:21 AM
To: csgnet@lists.illinois.edu
Subject: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.19.23.15]

On 2017/08/19 6:16 PM, Boris Hartman wrote:

Dear Eetu,

diagram is nice, but I’m afraid that it would be better if you would use standard Bills’ diagram. My oppinion is that general Bills’ diagram is about »comparator« that represent »one neuron« or all »nervous system«. So introducing new »comparator« into general picture and double »outputs« could mean that you introduce new »nervous system« and multiple and separated acting on environment. My oppinion is that »nervous system« does not operate in this way.

Boris, have you managed to find a way to discover neurons that output negative firing rates?

Without them, how does the structure in your diagram work? All Eetu’s diagram does is implement Bill’s diagram using neurons that have only positive firing rates.

HB : I don’t understand what you are talking about. Who was talking about positive and negative firing rates ? Neurons fire in quite exact way. First I’d like to see if you understand how ?

MT : There are probably lots of other ways to do it,

HB :

You mean other physiological ways to do it ? Or which other ways ? Can you show me some examples from Bll’s literature. It could be that I didin’t understand right what your diagram was about.

MT : …but Eetu’s diagram adds or subtracts nothing frrom or to Bill’s diagram, other than to suggest a way to make Bill’s structure work with physiologically feasible neurons.

HB : As I said maybe I missed something. So could you please show me physiological plausability of such diagram with one »input function« in organism (choose receptor) and affent neuron or in your case neurons, how this really works in organism ? I expect you also to show me how neurons in such a double diagram physiologically fires ? And of course how these neurons will connect to »output« ? If as you said everything work with physiologically feasible neurons.

Boris

Martin

I attached one of his diagrams where »branching of perceptual signal« is not divided on the same level to many comparators and many outputs. I think that this Bills’ diagram is more in accordance with physiological facts and it more fits into general »picture« how nervous system function. And I think it’s better to use his explanation in his books without using any Ricks’ imagination constructs and his literature which is by my oppinion useless for PCT explanations. I’d advise you using Bills’ literature and his explanations of PCT.

Boris

From: Eetu Pikkarainen [mailto:eetu.pikkarainen@oulu.fi]
Sent: Wednesday, August 16, 2017 9:21 AM
To: csgnet@lists.illinois.edu
Subject: VS: Dealing with the limitation of only positive neural signals

Martin,

did you men something like this:

mailbox:///Users/mmt/Documents/Thunderbird_data/Mail/mmt-csg/Inbox?number=299398552&header=quotebody&part=1.1.2&filename=image001.png

Eetu

Please, regard all my statements as questions,

no matter how they are formulated.

-----Alkuperäinen viesti-----
Lähettäjä: Martin Taylor [mailto:mmt-csg@mmtaylor.net]
Lähetetty: 16. elokuutata 2017 8:13
Vastaanottaja: csgnet@lists.illinois.edu
Aihe: Re: Dealing with the limitation of only positive neural signals

[Martin Taylor 2017.08.16.01.06]

[From Fred Nickols (2017.08.15.1537 ET)]

Martin:

The attached .jpg diagram illustrates what I was talking about when I

referred to having different (yet connected) control systems for the

right and left positions of the car in its lane. That was my way of

getting around situations Rick raised where r might larger than p or p

might be larger than r, suggesting a negative or positive error yet

only positive neural signals are known to exist. Does it fit with the way you see it?

Not quite. I would have only one perceiving function and one reference value signal. Those signals would be sent to two comparators, one of which would have zero output if the error were rightward and the other would have zero output if the error were leftward. Otherwise, I think the rest of it more or less coincides with my view. The perceiver doesn’t have to have zero output for the car being in the middle of its lane, so you don’t need separate ones for left of centre and right of centre.

Martin

[From Erling Jorgensen (2017.08.23 0845 EDT)]

Rick Marken (2017.08.21.1515)

RM: I am really looking forward to seeing your paper on this in LCS IV. What did you think of spreadsheet model, by the way?

EJ: Hi, Rick. I appreciate the spreadsheet simulations because they are actual working models, that generate results that can be examined, apart from what we think may be going on. Having said that, spreadsheet formulas are always hard to trace out and figure out their implications. Let me give some partial reflections about your “2 level parallel control.xlsx� model, attached to your post of Rick Marken (2017.08.20.1710).

EJ: I do think you capture something of the essence of bi-directional comparators, and try to deal with the constraint of only positive values for long-distance action potentials in the nervous system. I have some reservations about using Logic functions to get there, but the tools available on spreadsheet applications are often somewhat limited for PCT purposes. As I’ve said before, I’m glad that you’ve pioneered this tool for modeling (toy models, in the non-pejorative physics sense), because spreadsheets allow for hierarchical connections and lateral control systems all working in parallel.

EJ: I had to find the Show Formulas button on the Formulas tab, to get a clearer sense of what is going on, (as well as Unprotect Sheet from the Review tab in order to expand column width to see the formulas!) I’m mentioning all my steps for those who may not be too familiar navigating around a spreadsheet.

EJ: My
initial impression was that the measure of X.i in the environment (in cells E15 and G15) reintroduces
a minus sign from cell F13 or H13, respectively. I was trying to figure out why, seeing as
usually the Comparator function addresses that need directly. I realize there can be additional minus signs
in the loop, as long as there are an odd number all the way around a given loop
(to preserve negative feedback.)

EJ: So that led me to trying to trace the number of minus signs for
different loops. (Starting with the E
and F columns.) I notice that second
level Error propagation picks up a minus sign from either cell E7 or F7. These are the bi-directional Comparators at
that level. One or the other of those
values will be zero. There is a second
set of minus signs coming from the first level Error formulas in cells E12 and
F12. Again, one or the other of these
values will always come back zero.

EJ: As I tried to go further, I realize that I
don’t understand the level one Reference formulas.

EJ: A piece that is confusing me is the implication
that every formula receives input values and generates an output value. I believe the constraint on only positive
values in the nervous system only applies to output values. That is to say, long-range neural propagation
can only be by positive action potentials.
However, as input values, a given signal can be routed through an
interneurone or use an inhibitory neurotransmitter across the synapse, to reverse the sign of the
input. So within the formula of a cell
(a virtual neuron), input values can subtract from one another to in effect generate the
net membrane potential, where the membrane potential then has to exceed certain
thresholds to generate a (positive) action potential.

EJ: I’m
trying to figure out if the Logic formulas used in most of the cells satisfy
these constraints. For instance, looking at the formula for the first level
Reference R(1,1) in cell E10, it appears that you zero-out any input coming
from the second level Output in O(2,2) in cell F8. That’s the output that is supposed to pull
the Perception in P(2,1) in cell E6 back when it is larger than the Reference
in R(2,1) in cell E5. A separate question is how that reference formula R(1,1) compares with the supposedly parallel one in R(1,2) in cell G10.

EJ: When I run the spreadsheet, using the F9 key
repeatedly, I don’t see Perceptions P(1,1) in cell E11 or P(1,2) in cell G11
changing much. Instead, it looks like
their corresponding References, R(1,1) in cell E10 and R(1,2) in cell G10, are
converging toward their respective perceptions, instead of the other way
around. I’m not sure why that is happening. I think that phenomenon (i.e., Reference tracking Perception) is making the goodness-of-tracking measure in cell I10 seem artificially better than it actually is.

EJ: I appreciated seeing the familiar form of the Output functions, that appeared in your published article on using a spreadsheet simulation of control systems (I forget the title, sorry.) I think it was your formulas in that article that helped me “get it” as far as how an integrating function would be constructed, by multiplying Gain by accumulated Error, subtracting out the prior Output contribution from the previous iteration, multiplying the result by a Slowing factor, so that the Output begins to move to the new direction on this iteration, and then integrating that overall result with the prior Output.

EJ: This is not a very huge point, but I don’t understand the Disturbance Cycle section very well, especially the MOD function to generate a remainder from a given division. It appears to be a way of generating unexpected Disturbances to apply to the X.i terms.

EJ: At any rate, these are some initial reflections and comments. I think it’s way premature to add Thalamic labeling to these kinds of simulations. It’s better to let the neurophysiological arguments and the modeling arguments be understood and absorbed on their own merits first. Thanks for your efforts, though.

All the best,

Erling

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