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Springer Computational Neuroscience: A First Course Textbook

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Description

Computational Neuroscience: A First Course provides an essential introduction to the field, offering a fundamental understanding of how to model the nervous system. This Springer Series in Bio-/Neuroinformatics text covers modeling at the membrane, cellular, and network levels. Developed from a lecture series held for over ten years for graduate students, it is designed for those with backgrounds in biology, psychology, and medicine. The book guides readers through three fundamental domains: membrane biophysics, systems theory, and artificial neural networks. It serves as a comprehensive resource for students and professionals looking to master the mathematical foundations and biological principles required to understand complex neural systems.

Key Features

This Springer textbook provides an essential introduction to modeling the nervous system at the membrane, cellular, and network levels.

The content covers three fundamental domains of computational neuroscience including membrane biophysics, systems theory, and artificial neural networks.

Developed from a lecture series held for over ten years, this book is tailored for graduate students in neuroscience.

This resource is designed for readers with academic backgrounds in biology, psychology, and medicine.

Part of the Springer Series in Bio-/Neuroinformatics, this book offers a structured approach to learning computational neuroscience.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 June 2015
Listed Since
04 June 2015

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