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Language: en
Pages: 445
Pages: 445
Type: BOOK - Published: 2017-04-17 - Publisher: Springer
This book is intended as a text for a one-semester course on Mathematical and Computational Neuroscience for upper-level undergraduate and beginning graduate st
Language: en
Pages: 591
Pages: 591
Type: BOOK - Published: 2014-07-24 - Publisher: Cambridge University Press
This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.
Language: en
Pages: 459
Pages: 459
Type: BOOK - Published: 2010-01-22 - Publisher: MIT Press
Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both ne
Language: en
Pages: 331
Pages: 331
Type: BOOK - Published: 2007-12-22 - Publisher: Springer Science & Business Media
This is an excellent introduction for graduate students and nonspecialists to the field of mathematical and computational neurosciences. The book approaches the
Language: en
Pages: 405
Pages: 405
Type: BOOK - Published: 2018-10-09 - Publisher: MIT Press
A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neu