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This book provides an essential overview of computational neuroscience. It addresses a broad range of aspects, from physiology to nonlinear dynamical approaches to understanding neural computation, and from the simulation of brain circuits to the development of engineering devices and platforms for neuromorphic computation. Written by leading experts in such diverse fields as neuroscience, physics, psychology, neural engineering, cognitive science and applied mathematics, the book reflects the remarkable advances that have been made in the field of computational neuroscience, an emerging discipline devoted to the study of brain functions in terms of the information-processing properties of the structures forming the nervous system. The contents build on the workshop “Nonlinear Dynamics in Computational Neuroscience: from Physics and Biology to ICT,” which was held in Torino, Italy in September 2015.

Computational neuroscience. --- Engineering. --- Neurosciences. --- Computational Intelligence. --- Mathematical Models of Cognitive Processes and Neural Networks. --- Applications of Nonlinear Dynamics and Chaos Theory. --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Construction --- Industrial arts --- Technology --- Computational intelligence. --- Neural networks (Computer science) . --- Statistical physics. --- Physics --- Mathematical statistics --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Intelligence, Computational --- Statistical methods