| Description |
xvi, 804 pages : illustrations (some color) ; 26 cm |
| Contents |
1. Introduction -- 2. The hippocampus and memory -- 3. Reward- and punishment-related learning; emotion and motivation -- 4. Invariant visual object recognition learning -- 5. Short-term memory -- 6. Attention, short-term memory, and biased competition -- 7. Probabilistic decision-making -- 8. Action selection by biased attractor competition in the prefrontal cortex -- 9. Reward, decision, and action reversal using attractor dynamics -- 10. Decision-making -- A. Introduction to linear algebra for neural networks -- B. Neural network models -- C. Information theory, and neuronal encoding -- D. Glossary -- E. Colour Plates |
| Summary |
"This book brings a unified approach to understanding memory, attention, and decisionmaking. It shows how these fundamental functions for cognitive neuroscience can be understood in a common and unifying computational neuroscience framework. This framework links empirical research on brain function from neurophysiology, functional neuroimaging, and the effects of brain damage, to a description of how neural networks in the brain implement these functions using a set of common principles. The book describes the principles of operation of these networks, and how they could implement such important functions as memory, attention, and decision-making."--BOOK JACKET |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Memory.
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Attention.
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Decision making.
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| LC no. |
2007280664 |
| ISBN |
9780199232703 |
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