From Automata Theory to Brain Theory

Although the brain modeler can gain many useful insights from such concepts of orthodox automata theory as finite automata, network complexity theory, and Turing machines, we here stress that the best neural modelling will bear little resemblance to a straight application of such techniques. This general perspective is complemented by a survey of eight levels of neural modelling, coupled with an extensive bibliography. The eight levels are: formfunction relations in single neurons; lateral inhibition; mode selection; statistical mechanics; adaptive neural networks; holography; control theory; and cognitive modelling.

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