Non-linear dynamics in neural networks.

J G Taylor

doi:10.1016/s0079-6123(08)60553-1

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Non-linear dynamics in neural networks.

J G Taylor

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Abstract

A general framework for the analysis of neurons as stochastic, three-dimensionally complex and non-linear units with a range of temporal properties is outlined, and a class of problems delineated. Some general mathematical properties of the resulting network are deduced, together with information-theoretic questions to be pursued. In particular examples of the relevance of the nonlinear, temporal and stochastic properties of neurons in effective information processing are briefly outlined.

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Animals Models, Neurological Nerve Net Neurons Reaction Time Stochastic Processes Visual Pathways Journal Article Review

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J G Taylor. 1994. Non-linear dynamics in neural networks.. https://doi.org/10.1016/s0079-6123(08)60553-1

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