Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rule...Lasīt vairāk
Mathematical Neuroscience is a book for mathematical biologists seeking to discover the complexities of brain dynamics in an integrative way. It is the first research monograph devoted exclusively to the theory and methods of nonlinear anal...Lasīt vairāk
Billing the volume as an advanced textbook for a graduate level course in synthetic neuronal modeling and neuroengineering, editors Reeke (Laboratory of Biological Modeling, Rockefeller U., US), Poznanski (Claremont Research Institute of Applied Math...Lasīt vairāk
(Izdošanas datums: 19-Feb-1999, Hardback, Izdevniecība: Taylor & Francis Ltd, ISBN-13: 9789057022845)
Asserting that previous notions about the best methods of modeling the nervous system are wrong, and particularly that non-analytic methods such as the compartmental approach only generate a false sense of biological realism and are especially inappr...Lasīt vairāk
