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Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience: 4 (Blackwell/Maryland Lectures in Language and Cognition) - Softcover

 
9781405122887: Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience: 4 (Blackwell/Maryland Lectures in Language and Cognition)

Synopsis

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

"synopsis" may belong to another edition of this title.

About the Author

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.

From the Back Cover

Memory and the Computational Brain spans the fields of cognitive science, linguistics, psychology, neuroscience, and education, to suggest new perspectives on the way we consider learning mechanisms in the brain.

Gallistel and King propose that the architecture of the brain is structured precisely for learning and for memory, and that the concept of an addressable read/write memory mechanism should be integrated into the foundations of neuroscience. They argue that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory over the recent decades. Based on three lectures given by Randy Gallistel in the prestigious Blackwell-Maryland Lectures in Language and Cognition, the text has been significantly revised and expanded with numerous interdisciplinary examples and models and reflects recent research to make it essential reading for both students and those working in the field.

From the Inside Flap

Memory and the Computational Brain spans the fields of cognitive science, linguistics, psychology, neuroscience, and education, to suggest new perspectives on the way we consider learning mechanisms in the brain.

Gallistel and King propose that the architecture of the brain is structured precisely for learning and for memory, and that the concept of an addressable read/write memory mechanism should be integrated into the foundations of neuroscience. They argue that the field of neuroscience can and should benefit from the recent advances of cognitive science and the development of information theory over the recent decades. Based on three lectures given by Randy Gallistel in the prestigious Blackwell-Maryland Lectures in Language and Cognition, the text has been significantly revised and expanded with numerous interdisciplinary examples and models and reflects recent research to make it essential reading for both students and those working in the field.

"About this title" may belong to another edition of this title.

  • PublisherWiley-Blackwell
  • Publication date2009
  • ISBN 10 1405122889
  • ISBN 13 9781405122887
  • BindingPaperback
  • LanguageEnglish
  • Edition number1
  • Number of pages336

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9781405122870: Memory and the Computational Brain: Why Cognitive Science will Transform Neuroscience: 3 (Blackwell/Maryland Lectures in Language and Cognition)

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