WORKING NOTES

Carlo Pellacani

MAY 2001

These notes are intended for people with whom I collaborate to carry out our common research. Of course, you can have a look at them, but remember that they are just preliminary drafts.

A general information theory-based model for brain organisation: an application to the interaction between emotional and cortical brain.

Since the works by Descartes, many scientists and philosophers have discussed the problem the homunculus hypothesis. The most famous of the recent discussions of this subject has been given by Searle with his "chinese room argument" [1,2]. The connectionist position on Searle's argument was discussed by Churchland and Churchland [3].
We do not intend to enter here into such a complex philosophical discussion; it is however evident that, when one focuses his/her attention on the signal fluxes and elaboration within the brain, the problem of avoiding an implicit use of the homunculus hypothesis represents a serious task.
An enormous amount of signals are transmitted between different and distributed parts of the brain even when relatively simple tasks are performed [4 ]. A short list can be found here. One is then lead to the conclusion that a great quantity of information processing and transmission is carried out also for relatively simple inputs. Here the term "processing" does not imply in any sense that instructions (in the computational sense) are performed to send and interpret all the signals that we can detect in the central nervous system.
In a number of papers [5,6,7] Tononi et al. have introduced a new interpretation of the basic neuronal mechanisms of information processing within the brain that differs substantially from the instructivist hypothesis of the most radical computational theories of brain.
Posner et al, in a series of pioneering works [8,9] has advanced a theoretical model of the brain, where the action of independent, interacting modules exchanging information was somehow suggested as a basic scenario for brain activity interpretation.
Of particular interest, from this point of view, are the recent results by LeDoux [10] on the information fluxes between the environment, emotional brain, and neocortex. Even in its more schematic form, the neuronal circuit put into evidence by LeDoux represents an interesting model to focus on, as a possible prototype of non-instructional processing of information, based on the interaction of different but strictly co-ordinated modules operating in the brain. In the following we discuss such a circuit, having in mind however the more general problem of brain information processing as possibly implemented by a system of nested, interconnected modules implementing a non-instructional information process, as physically identified in references [5,6,7]. If our hypothesis is correct, LeDoux circuit can be identified as a particularly evident prototype of the more general structure suggested there.
As far as the resulting emotional-cortical scenario is concerned, the basics are captured by the synergetic interaction between a first-level emotional alarm system, operating on very rough data set about the external environment, and a more sophisticated cortical system, which operates on the basis of a more detailed knowledge about the external world.
What seems to be the most interesting consequence of our result is the role of the emotional module to shape the evolution of the conceptual system in its cortical counterpart. Taking into account the most obvious needs of a realistic, evolving, surviving system in a given environment, we show that some important conditions must hold. Then it is shown that those conditions can be obtained in terms of an information theory based principle. The results are capable of somehow mirroring the results obtained [5,6,7], enlightening the "rational" of the brain structure, as observed in the above mentioned references, as well as the psychological analysis proposed by LeDoux.

“Humans appeared to evolve along a fitness pathway that maximised the options of behaviour for the least cost to adapt. We think of evolution as species ‘striving’ towards a goal. Yet adaptation is always along an available pathway, and change incurs costs. For humans each attribute that changed, whether the body covering, hand, or posture, was fit if it gained the maximum flexibility of behaviour, for the minimum cost to evolve.”

[1] Searle, John. 1980a. "Minds, Brains, and Programs." Behavioral and Brain Sciences 3, 417-424.

[2] Searle, John. 1992. The Rediscovery of the Mind, Cambridge, MA: MIT Press.

[ 3] Churchland, P.M., Churchland, P.S. 1983. ‘Stalking the Wild Epistemic Engine’. Nous, 17, 5-18.

[4] Edelman M. E., Tononi G., (2000) "A universe of consciousness", Basic Books, New York

[5] Tononi G., Sporns O., Edelman G.M., A measure for brain complexity: Relating functional segregation and integration in the nervous system, Proc. Natl. Acad. Sci. USA, Vol. 91, pp. 5033-5037, May 1994, Neurobiology

[6] Tononi G., Sporns O., Edelman G.M., A complexity measure for selective matching of signals by the brain. Proc. Natl. Acad. Sci. USA, Vol.93, pp. 3422-3427, April 1996, Neurobiology

[7] Tononi G., Sporns O., Edelman G.M., Measures of degeneracy and redundancy in biological networks. Proc. Natl. Acad. Sci. USA, Vol.96, pp. 3257-3262, March 1999, Neurobiology[8]

[8] Posner, M.I. & Boies, S.W.(1971) Components of attention. Psychological Review, 78:391-408[9]

[9 ]Posner, M.I. & Warren, R.E.(1972) Traces, Concepts, and conscious constructions. In:Coding processes in human memory, eds. A.W.Melton & E.Martin. pp. 25-43.

[10] LeDoux J. (1996) "The Emotional Brain", Touchstone Book, New York

 

 

2-LeDoux circuit

 

3-Considerations about the relation between risk and probability

 

4-Basics of the proposed Model

 

5-Gell-Mann-Lloyd definition of effective and total information


6-The Theory

 

7-Discussion of the Theory in terms of Gell-Mann, Lloyd concept of Total Information

 

8-Evolving Agents Structures and Information Fluxes

 

9-Robustness to errors of the two-modules structure

 

What is a state of affairs in our model

 

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