Fundamentals of Computational Neuroscience
Author:   Thomas Trappenberg (Faculty of Computer Science, Dalhousie University, Canada)
Publisher:   Oxford University Press
Edition:   2nd Revised edition
ISBN:  

9780199568413


Pages:   416
Publication Date:   29 October 2009
Format:   Paperback
Availability:   Awaiting stock   Availability explained


Our Price $184.67 Quantity:  
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Fundamentals of Computational Neuroscience


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Author:   Thomas Trappenberg (Faculty of Computer Science, Dalhousie University, Canada)
Publisher:   Oxford University Press
Imprint:   Oxford University Press
Edition:   2nd Revised edition
Dimensions:   Width: 18.90cm , Height: 2.30cm , Length: 24.60cm
Weight:   0.783kg
ISBN:  

9780199568413


ISBN 10:   0199568413
Pages:   416
Publication Date:   29 October 2009
Audience:   College/higher education ,  Undergraduate
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   Awaiting stock   Availability explained

Table of Contents

1: Introduction Basic Neurons 2: Neurons and conductance-based models 3: Simplified neuron and population models 4: Associators and synaptic plasiticity Basic Networks 5: Cortical organizations and simple networks 6: Feed-forward mapping networks 7: Cortical feature maps and competitive population coding 8: Recurrent associative networks and episodic memory System-Level Models 9: Modular networks, motor control, and reinforcement learning 10: The cognitive brain A: Some useful mathematics B: Numerical calculus C: Basic probability theory D: Basic information theory E: A brief introduction to MATLAB

Reviews

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 truly integrated with computer modeling and includes real-world examples of the phenomena to place a concrete face on an otherwise abstract body. The second edition includes many new features that make the udpate worthwhile.--Doody's


<br> 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 truly integrated with computer modeling and includes real-world examples of the phenomena to place a concrete face on an otherwise abstract body. The second edition includes many new features that make the udpate worthwhile. --Doody's<br>


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