Introductory course in computational neuroscience (Record no. 64062)

MARC details
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780262038256
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 612.8233 MIL
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Miller, Paul
245 ## - TITLE STATEMENT
Title Introductory course in computational neuroscience
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Cambridge, Massachusetts:
Name of publisher, distributor, etc MIT Press,
Date of publication, distribution, etc 2018.
300 ## - PHYSICAL DESCRIPTION
Extent xi, 383p.:
Other physical details ill.; hbk.:
Dimensions 24 cm.
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Computational Neuroscience
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Include References and Index
520 ## - SUMMARY, ETC.
Summary, etc A textbook for students with limited background in mathematics and computer coding, emphasizing computer tutorials that guide readers in producing models of neural behavior.<br/><br/>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.<br/><br/>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.<br/><br/>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.<br/><br/>https://mitpress.mit.edu/9780262038256/an-introductory-course-in-computational-neuroscience/
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Neural Circuits
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Topical term or geographic name as entry element Brain Dynamics
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Topical term or geographic name as entry element Matlab Programming
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Topical term or geographic name as entry element Dynamical Systems
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Topical term or geographic name as entry element Neuron Simulation
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Topical term or geographic name as entry element Computational Biology
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Topical term or geographic name as entry element Data Analysis Techniques
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Item type Books
Source of classification or shelving scheme Dewey Decimal Classification
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Copy number Cost, replacement price Koha item type
    Dewey Decimal Classification     General IIT Gandhinagar IIT Gandhinagar 08/12/2025 Himanshu Books 4850.00   612.8233 MIL 036431 28/11/2025 1 4850.00 Books


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