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Fundamentals of computational neuroscience

Author: Thomas P Trappenberg
Publisher: Oxford ; New York : Oxford University Press, 2010.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
"Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. Given the complexity of the  Read more...
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Additional Physical Format: Online version:
Trappenberg, Thomas P.
Fundamentals of computational neuroscience.
Oxford ; New York : Oxford University Press, 2010
(OCoLC)742633408
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Thomas P Trappenberg
ISBN: 9780199568413 0199568413
OCLC Number: 444383805
Description: xxv, 390 pages : illustrations ; 25 cm
Contents: Introduction --
Basic Nuerons --
Neurons and conductance-based models --
Simplified neuron and population models --
Associators and synaptic plasiticity --
Basic Networks --
Cortical organizations and simple networks --
Feed-forward mapping networks --
Cortical feature maps and competitive population coding --
Recurrent associative networks and episodic memory --
System-Level Models --
Modular networks, motor control, and reinforcement learning --
The cognitive brain --
Some useful mathematics --
Numerical calculus --
Basic probability theory --
Basic information theory --
A brief introduction to MATLAB.
Responsibility: Thomas P. Trappenberg.

Abstract:

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. Completely redesigned and revised, it introduces the theoretical foundations of  Read more...

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"As an introductory and foundational text for students, this book works quite well. It is well organized, easy to reference, and uncomplicated as far as this technical topic goes. The neuroanatomy is Read more...

 
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