Fr. 86.00

An Introductory Course in Computational Neuroscience

English · Hardback

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Description

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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.


About the author

Paul Miller is Associate Professor in the Department of Biology and the Volen National Center for Complex Systems at Brandeis University, where he is also Undergraduate Advising Head for the Neuroscience Program.

Summary

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.

Product details

Authors Paul Miller, Paul (Brandeis University) Miller
Assisted by Tomaso A. Poggio (Editor), Terrence J. Sejnowski (Editor)
Publisher The MIT Press
 
Languages English
Age Recommendation from age 18
Product format Hardback
Released 30.09.2018
 
EAN 9780262038256
ISBN 978-0-262-03825-6
No. of pages 408
Dimensions 183 mm x 235 mm x 26 mm
Series Computational Neuroscience
Computational Neuroscience series
Computational Neuroscience Series
An Introductory Course in Computational Neuroscience
Subjects Natural sciences, medicine, IT, technology > Biology > General, dictionaries

SCIENCE / Life Sciences / Neuroscience, Neurosciences, Computer modelling & simulation, Computer modelling and simulation

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