Recurrent Collateral Inhibition Simulated in a Simple Neuronal Automata Assembly
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One of the central problems that has to be resolved in view of a better understanding of the functioning of CNS structures is that of the dynamic properties of it’s constituent neuronal nets. It clearly appears, indeed, to experimental as well as theoretical neurobiologists that albeit the wealth of knowledge accumulated on the properties of neurons at the molecular, membrane and cellular levels a great degree of cooperativity is present between neuronal elements and that it is therefore the collective properties of groups of neurons inside the structure that must be unveiled. This has at least two important consequences. The first is that it may be difficult to use general mathematical “models” to derive precise existing properties. Indeed there does not exist such a thing as a “general” CNS structure but on the contrary very differently organized morphological structures. The second is that if one takes in account the ultimate scope of the CNS, which is certainely related to an “adequate behavior” of the animal in its environment, then the temporal constraints imposed on the systems must surely be stressed.
KeywordsPurkinje Cell Informational Content Collective Property Restricted Problem Recurrent Collateral
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