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Contributors | November 10, 2009

Zachary Lazar: IMG Evening's Empire

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Without knowing it, I'd always had two unspoken arrangements with the world. The first was that I would not trouble it with unpleasant conversation... Continue »
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    Evening's Empire: The Story of My Father's Murder

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Other titles in the Computational Neuroscience series:

  1. Bayesian Brain: Probabilistic Approaches to Neural Coding
  2. Biophysics of Computation: Information Processing in Single Neurons
  3. Computational Modeling Methods for Neuroscientists
  4. Computational Vision: Information Processing in Perception and Visual Behavior
  5. Dynamic Biological Networks: The Stomatogastric Nervous System
  6. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting
  7. Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting
  8. Fast Oscillations in Cortical Circuits
  9. Fundamentals of Neural Network Modeling: Neuropsychology & Cognitive Neuroscience
  10. Graphical Models Foundations of Neural Computation
  11. Large-Scale Neuronal Theories of the Brain
  12. Methods in Neuronal Modeling - 2nd Edition: From Ions to Networks
  13. Models of Information Processing in the Basal Ganglia
  14. Neural Codes and Distributed Representations: Foundations of Neural Computation
  15. Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems
  16. Neurobiology of Neural Networks
  17. Neurons, Networks, and Motor Behavior
  18. Self-Organizing Map Formation: Foundations of Neural Computation
  19. Spikes: Exploring the Neural Code
  20. The Computational Brain
  21. The Computational Neurobiology of Reaching and Pointing: A Foundation for Motor Learning
  22. Theoretical Foundation of Dendritic Function: Selected Papers of Wilfrid Rall
  23. Unsupervised Learning: Foundations of Neural Computation

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience)

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems (Computational Neuroscience) Cover

Synopses & Reviews

Publisher Comments:

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

Review:

andquot;Not only does the book set a high standard for theoretical neuroscience, it defines the field.andquot;
andmdash; Dmitri Chklovskii, Neuron

Review:

andquot;Not only does the book set a high standard for theoretical neuroscience, it defines the field.andquot;
-- Dmitri Chklovskii, Neuron

Review:

andquot;It will not be surprising if this book becomes the standard text for students and researchers entering theoretical neuroscience for years to come.andquot;
andmdash; M. Brandon Westover, Philosophical Psychology
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About the Author

Peter Dayan is on the faculty of the Gatsby Computational Neuroscience Unit at University College London.L. F. Abbott is the Nancy Lurie Marks Professor of Neuroscience and Director of the Volen Center for Complex Systems at Brandeis University. He is the coeditor of Neural Codes and Distributed Representations (MIT Press, 1999).
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Product Details

ISBN:
9780262041997
Subtitle:
Computational and Mathematical Modeling of Neural Systems
Author:
Dayan, Peter
Author:
Abbott, L. F.
Author:
Abbott, L.
Publisher:
The MIT Press
Location:
Cambridge, Mass.
Subject:
Neuroscience
Subject:
Anthropology - Physical
Subject:
Neural Networks
Subject:
Computer simulation
Subject:
Human information processing
Subject:
Diseases - Brain
Subject:
Models, Neurological.
Subject:
Computational neuroscience.
Subject:
Neurology - General
Edition Description:
Includes bibliographical references.
Series:
Computational Neuroscience
Series Volume:
7
Publication Date:
20011201
Binding:
Hardback
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Yes
Pages:
476
Dimensions:
9 x 7 in
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