Cantitate/Preț
Produs

Memory and the Computational Brain – Why Cognitive Science will Transform Neuroscience: Blackwell/Maryland Lectures in Language and Cognition

Autor R Gallistel
en Limba Engleză Hardback – 2 apr 2009
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
Citește tot Restrânge

Preț: 55809 lei

Preț vechi: 80942 lei
-31% Nou

Puncte Express: 837

Preț estimativ în valută:
10686 11127$ 8866£

Carte indisponibilă temporar

Doresc să fiu notificat când acest titlu va fi disponibil:

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9781405122870
ISBN-10: 1405122870
Pagini: 336
Dimensiuni: 168 x 244 x 19 mm
Greutate: 0.73 kg
Editura: Wiley
Seria Blackwell/Maryland Lectures in Language and Cognition

Locul publicării:Chichester, United Kingdom

Public țintă

Intermediate and advanced undergraduates, postgraduates, faculty, and researchers in linguistics, cognitive science, and education

Cuprins

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.

Descriere

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.