Chaos and Neural Networks
Nervous systems are strongly connected networks of building modules the neurons. The irregular or periodic neural autoactivity might take its origin either from units or networks.
The formal concept of network presented here is a separable system of a finite number of units or component variables (cells). These ‘state-variables’ interact, similarly to the nerve cells. This means that their future is determined by the past history of a set of other variables. In models the different sets of formal variables may correspond either to real units (cells) or real networks of neurons.
In specific cases regular (stable) units may become irregular or unstable when coupled into nets. In other examples unstable or irregular unit activities may turn into stable or periodic functioning. The prediction of the fate of the interconnected units in a network in some cases is possible. Nevertheless, no general theory of the possible consequences of interconnections is now available.
KeywordsThreshold Gate Columnar Permutation Spike Sequence Silent Unit Building Module
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