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Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience
C. R. Gallistel
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Description for Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience
Paperback. Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades. Series: Blackwell/Maryland Lectures in Language and Cognition. Num Pages: 336 pages, black & white illustrations, black & white tables, diagrams, figures. BIC Classification: JMRM; MJN. Category: (P) Professional & Vocational. Dimension: 245 x 172 x 20. Weight in Grams: 578.
Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field can and should benefit from the recent advances of cognitive science and the development of information theory over the course of the last several decades. A provocative argument that impacts across the fields of linguistics, cognitive science, and neuroscience, suggesting new perspectives on learning mechanisms in the brain Proposes that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory Suggests that the architecture of the brain is structured precisely for learning and for memory, and integrates the concept of an addressable read/write memory mechanism into the foundations of neuroscience Based on lectures in the prestigious Blackwell-Maryland Lectures in Language and Cognition, and now significantly reworked and expanded to make it ideal for students and faculty
Product Details
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
336
Format
Paperback
Publication date
2009
Series
Blackwell/Maryland Lectures in Language and Cognition
Condition
New
Weight
578g
Number of Pages
336
Place of Publication
Chichester, United Kingdom
ISBN
9781405122887
SKU
V9781405122887
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About C. R. Gallistel
C. R. Gallistel is Co-Director of the Rutgers Center for Cognitive Science. He is one of the foremost psychologists working on the foundations of cognitive neuroscience. His publications include The Symbolic Foundations of Conditional Behavior (2002), and The Organization of Learning (1990). Adam Philip King is Assistant Professor of Mathematics at Fairfield University.
Reviews for Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience
The book covers wide-ranging ground
indeed, it passes for a computer science or philosophy textbook in places
but it does so in a consistently lucid and engaging fashion. (CHOICE, December 2009) The authors provide a cogent set of ideas regarding a kind of brain functional architecture that could serve as a thought-provoking alternative to that envisioned by current dogma. If one is seriously concerned with understanding and investigating the brain and how it operates, taking the time to absorb the ideas conveyed in this book is likely to be time well spent. (PsycCRITIQUES, November 2009) Along with a light complement of fascinating psychological case studies of representations of space and time, and a heavy set of polemical sideswipes at neuroscientists and their hapless computational fellow travelers, this book has the simple goal of persuading us of the importance of a particular information processing mechanism that it claims does not currently occupy center stage. (Nature Neuroscience, October 2009)
indeed, it passes for a computer science or philosophy textbook in places
but it does so in a consistently lucid and engaging fashion. (CHOICE, December 2009) The authors provide a cogent set of ideas regarding a kind of brain functional architecture that could serve as a thought-provoking alternative to that envisioned by current dogma. If one is seriously concerned with understanding and investigating the brain and how it operates, taking the time to absorb the ideas conveyed in this book is likely to be time well spent. (PsycCRITIQUES, November 2009) Along with a light complement of fascinating psychological case studies of representations of space and time, and a heavy set of polemical sideswipes at neuroscientists and their hapless computational fellow travelers, this book has the simple goal of persuading us of the importance of a particular information processing mechanism that it claims does not currently occupy center stage. (Nature Neuroscience, October 2009)