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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences

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An Introductory Course in Computational Neuroscience (Hardcover) Loot Price: R1,295
Discovery Miles 12 950
You Save: R147 (10%)
An Introductory Course in Computational Neuroscience (Hardcover): Paul Miller

An Introductory Course in Computational Neuroscience (Hardcover)

Paul Miller

Series: Computational Neuroscience Series

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List price R1,442 Loot Price R1,295 Discovery Miles 12 950 | Repayment Terms: R121 pm x 12* You Save R147 (10%)

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A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior. This introductory text teaches students to understand, simulate, and analyze the complex behaviors of individual neurons and brain circuits. It is built around computer tutorials that guide students in producing models of neural behavior, with the associated Matlab code freely available online. From these models students learn how individual neurons function and how, when connected, neurons cooperate in a circuit. The book demonstrates through simulated models how oscillations, multistability, post-stimulus rebounds, and chaos can arise within either single neurons or circuits, and it explores their roles in the brain. The book first presents essential background in neuroscience, physics, mathematics, and Matlab, with explanations illustrated by many example problems. Subsequent chapters cover the neuron and spike production; single spike trains and the underlying cognitive processes; conductance-based models; the simulation of synaptic connections; firing-rate models of large-scale circuit operation; dynamical systems and their components; synaptic plasticity; and techniques for analysis of neuron population datasets, including principal components analysis, hidden Markov modeling, and Bayesian decoding. Accessible to undergraduates in life sciences with limited background in mathematics and computer coding, the book can be used in a "flipped" or "inverted" teaching approach, with class time devoted to hands-on work on the computer tutorials. It can also be a resource for graduate students in the life sciences who wish to gain computing skills and a deeper knowledge of neural function and neural circuits.

General

Imprint: MIT Press
Country of origin: United States
Series: Computational Neuroscience Series
Release date: October 2018
Authors: Paul Miller
Dimensions: 229 x 178 x 27mm (L x W x T)
Format: Hardcover
Pages: 408
ISBN-13: 978-0-262-03825-6
Categories: Books > Computing & IT > Applications of computing > Computer modelling & simulation
Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Neurosciences
LSN: 0-262-03825-0
Barcode: 9780262038256

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