An Introductory Course In Computational Neuroscience Hardcover English by Paul Miller - 43375

483.00

Inclusive of VAT

Only 5 left in stock

Get it by 23 June

Order in the next 39 m

Coupons

Delivery by noon

Cash on Delivery

Secure Transaction

Explore other bestsellers in
Books

BANK OFFERS

SELLER

Sold by

Ophelia Books

Not enough ratings to show

Partner since

7+ Y

Great recent rating

Free delivery on Lockers & Pickup Points

This item is eligible for free returns

Product Overview

Specifications

Publisher	Mit Press
ISBN 13	9780262038256
ISBN 10	262038250
Author	Paul Miller, Terrence J. Sejnowski, Tomaso A. Poggio
Book Format	Hardcover
Language	English

Book Description	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.
Language	English
Edition Number	1
Publication Date	43375
Number of Pages	408

Cart Total  483.00