Mathematics for Neuroscientists 2E - Cox

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Mathematics for Neuroscientists 2E

By: Cox, Gabbiani

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Hardcover | 23 February 2017 | Edition Number 2

At a Glance

Hardcover
628 Pages

Edition Type
Revised

Dimensions(cm)
27.94 x 21.59 x 3.18

Hardcover

RRP $194.95

$177.75

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Mathematics for Neuroscientists, Second Edition, presents a comprehensive introduction to mathematical and computational methods used in neuroscience to describe and model neural components of the brain from ion channels to single neurons, neural networks and their relation to behavior. The book contains more than 200 figures generated using Matlab code available to the student and scholar. Mathematical concepts are introduced hand in hand with neuroscience, emphasizing the connection between experimental results and theory.

Fully revised material and corrected text
Additional chapters on extracellular potentials, motion detection and neurovascular coupling
Revised selection of exercises with solutions
More than 200 Matlab scripts reproducing the figures as well as a selection of equivalent Python scripts

Industry Reviews

"This is a big book in more than one sense. It has a large page format measuring about 20cm x 27cm making it easy to open up and take in large swathes of text, equations, and figures. More importantly, it covers a very wide range of mathematical methodologies relevant to neuroscience. ...I would highly recommend this book to those with an interest in computational neuroscience who wish to delve more deeply into the biophysics underlying cell-based dynamics and computations, especially if they are interested in flexing their mathematical muscles." --MathSciNet Amazon Editorial Reviews for First Edition:"I really think this book is very, very important. This is precisely what has been missing from the field and is badly needed. " --Dr. Kevin Franks, research fellow, Richard Axel's laboratory Columbia University, NYC "The idea of presenting sufficient maths to understand the theoretical neuroscience, alongside the neuroscience itself, is appealing. The inclusion of Matlab code for all examples and computational figures is an excellent idea. " --David Corney, research fellow, Institute of Ophthalmology, University College London

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