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Language: en
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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: 457
Pages: 457
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
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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: 393
Pages: 393
Type: BOOK - Published: 2011 - Publisher: Oxford University Press, USA
Theoretical, experimental and clinical perspectives. Readership: Graduate students, postdocs and research scientists in Neuroscience.
Language: en
Pages: 498
Pages: 498
Type: BOOK - Published: 2002-08-15 - Publisher: Cambridge University Press
This is an introduction to spiking neurons for advanced undergraduate or graduate students. It can be used with courses in computational neuroscience, theoretic