Non-linear dynamics in neural networks.
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.
Taylor
J G
JG
Department of Mathematics, King's College London, Strand, UK.
D000818:Animals; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology; D011930:Reaction Time; D013269:Stochastic Processes; D014795:Visual Pathways / Q000502:physiology