Memory, Attention, and Decision-making: A unifying computational neuroscience approach

Hardcover | September 12, 2007

byEdmund Rolls

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Memory, attention, and decision-making are three major areas of psychology. They are frequently studied in isolation, and using a range of models to understand them. This book brings a unified approach to understanding these three processes. It shows how these fundamental functions forcognitive 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 brainimplement 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.The topics covered includeThe hippocampus and memoryReward and punishment related learning: emotion and motivationVisual object recognition learningShort term memoryAttention, short term memory, and biased competitionProbabilistic decision-makingAction selectionDecision-makingAlso included are tutorial appendices onNeural networks in the brainNeural encoding in the brain'Memory, Attention and Decision-Making' will be valuable for those in the fields of neuroscience, psychology, and cognitive neuroscience from advanced undergraduate level upwards. It will also be of interest to those interested in neuroeconomics, animal behaviour, zoology, evolutionary biology,psychiatry, medicine, and philosophy. The book has been written with modular chapters and sections, making it possible to select particular Chapters for course work.

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Memory, attention, and decision-making are three major areas of psychology. They are frequently studied in isolation, and using a range of models to understand them. This book brings a unified approach to understanding these three processes. It shows how these fundamental functions forcognitive neuroscience can be understood in a commo...

Edmund T. Rolls is Professor of Experimental Psychology at the University of Oxford, and a Fellow and Tutor of Corpus Christi College, Oxford. He read preclinical medicine at the University of Cambridge, and now performs research in neuroscience at Oxford. His research links neurophysiological and computational neuroscience approaches...

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Format:HardcoverDimensions:776 pages, 9.69 × 6.73 × 1.69 inPublished:September 12, 2007Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199232709

ISBN - 13:9780199232703

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Table of Contents

1. Introduction2. The hippocampus and memory3. Reward- and punishment-related learning; emotion and motivation4. Invariant visual object recognition learning5. Short-term memory6. Attention, short-term memory, and biased competition7. Probabilistic decision-making8. Action selection by biased attractor competition in the pre-frontal cortex9. Reward, decision and action reversal using attractor dynamics10. Decision-makingAppendix A. Introduction to linear algebra for neural networksAppendix B. Neural network modelsAppendix C. Information theory, and neuronal encoding

Editorial Reviews

"The main strength of this book [are]...clinical links that are made to theoretical and computational models. The overall significance and contribution of computational neuroscience is quite apparent and the marriage of these models with neuropsychology and neuroimaging is well conceived."--Doody's