Theoretical Mechanics of Biological Neural Networks presents an extensive and coherent discusson and formulation of the generation and integration of neuroelectric signals in single neurons. The approach relates computer simulation programs for neurons of arbitrary complexity to fundamental gating processes of transmembrance ionic fluxes of synapses of excitable membranes. Listings of representative computer programs simulating arbitrary neurons, and local and composite neural networks are included.
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Theoretical Mechanics of Biological Neural Networks defines the theoretical foundation of neuroelectric signalling in biological neural networks. It presents progressively integrally-viewed mechanics and significant theoretical development for signalling in neurons and in local and composite networks. The book provides a common basis for linking neural network modeling with theoretical and experimental neurobiology.
This the third volume in the Academic press series, Neural Networks: Foundation to Applications.|Theoretical Mechanics of Biological Neural Networks defines the theoretical foundation of neuroelectric signalling in biological neural networks. It presents progressively integrally-viewed mechanics and significant theoretical development for signalling in neurons and in local and composite networks. The book provides a common basis for linking neural network modeling with theoretical and experimental neurobiology.
This the third volume in the Academic press series, Neural Networks: Foundation to Applications.
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