Abstract
Understanding complex neurobiological systems is one of the most difficult challenges in modern science. This book is focused on computational neuroscience, which provides a mathematical foundation and a rich set of computational approaches for understanding the principles and dynamics of the nervous system. Taking a bottom up strategy, the book offers comprehensive, step-by-step coverage on how to model the neuron and neural circuitry to understand the nervous system at multiple levels, from ion channels to networks. It has arisen from graduate courses to students in physical, mathematical and computer sciences, and can serve as an excellent text for courses in computational neuroscience.
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