Computational Neuroscience A First Course

“A useful guide for any neuroscientist desiring to incorporate computational methods into their research. The book covers three fundamental areas of computational neuroscience: membrane physics, systems theory, and artificial neural networks. … At the end each chapter, suggested reading materials are listed to help guide the reader to supporting resources which will fill in background material and\or extend the topic presented.” (Stanley R. Huddy, Mathematical Reviews, May, 2015)

“This book focuses on basic mathematical modeling approaches and computational methods in neuroscience, and it is a significant presentation of some basic aspects of computational neuroscience. … I recommend it for students and researchers in neuroscience who are interested in mathematical modeling and computational methods.” (Jin Liang, zbMATH 1317.92001, 2015)

“This is a good text discussing the mathematic neuromodeling introducing differential calculus inc. differential and partial differentional equations as they apply to temporal- spatial dynamics of the neural code. I recommend this book for all audiences with an interest in neuroscience.” (Joseph J. Grenier, Amazon.com, August, 2014)