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Memory and the Computational Brain

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  • 336 Seiten
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Memory and the Computational Brain offers a provocative argument that goes to the heart of neuroscience, proposing that the field ... Weiterlesen
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Beschreibung

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.

Autorentext
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.

Inhalt

Preface. 1. Information. 2. Bayesian Updating. 3. Functions. 4. Representations. 5. Symbols. 6. Procedures. 7. Computation. 8. Architectures. 9. Data Structures. 10. Computing with Neurons. 11. The Nature of Learning. 12. Learning Time and Space. 13. The Modularity of Learning. 14. Dead Reckoning in a Neural Network. 15. Neural Models of Interval Timing. 16. The Molecular Basis of Memory. References. Glossary. Index.

Produktinformationen

Titel: Memory and the Computational Brain
Untertitel: Why Cognitive Science will Transform Neuroscience
Autor:
EAN: 9781405122870
ISBN: 978-1-4051-2287-0
Format: Fester Einband
Genre: Sprach- und Literaturwissenschaften
Anzahl Seiten: 336
Gewicht: 746g
Größe: H24mm x B256mm x T179mm
Jahr: 2009
Auflage: 1. Auflage

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