Modeling Brain Function (Record no. 12230)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 01962nmm a2200181Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 220920s9999||||xx |||||||||||||| ||und|| |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9780511623257 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 591.188 |
Item number | Am51M |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Amit, Daniel J. |
Relator term | Author |
Language of a work | English |
9 (RLIN) | 1823 |
245 #0 - TITLE STATEMENT | |
Title | Modeling Brain Function |
Remainder of title | : The World of Attractor Neural Networks |
Statement of responsibility, etc. | / by Daniel J. Amit. |
Medium | [Electronic Resource] |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Place of publication, distribution, etc. | Cambridge |
Name of publisher, distributor, etc. | : Cambridge University Press, |
Date of publication, distribution, etc. | 1989 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xviii, 504p. |
520 ## - SUMMARY, ETC. | |
Summary, etc. | One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers. A growing group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made substantial progress understanding memory, the learning process, and self organization by studying the properties of models of neural networks - idealized systems containing very large numbers of connected neurons, whose interactions give rise to the special qualities of the brain. This book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. It is written at a level accessible to the wide range of researchers working on these problems - statistical physicists, biologists, computer scientists, computer technologists and cognitive psychologists. The author presents a coherent and clear nonmechanical presentation of all the basic ideas and results. More technical aspects are restricted, wherever possible, to special sections and appendices in each chapter. The book is suitable as a text for graduate courses in physics, electrical engineering, computer science and biology. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Computer Science |
9 (RLIN) | 926 |
Topical term or geographic name entry element | Physics And Astronomy |
9 (RLIN) | 15702 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1017/CBO9780511623257">https://doi.org/10.1017/CBO9780511623257</a> |
Electronic format type | |
Link text | Click to Access the Online Book |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | e-Book |
Suppress in OPAC |
Withdrawn status | Lost status | Damaged status | Use restrictions | Not for loan | Collection | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e-Book For Access | Textbook | S. R. Ranganathan Learning Hub | S. R. Ranganathan Learning Hub | Online | 2022-09-20 | Infokart India Pvt. Ltd., New Delhi | 215.00 | 591.188 Am51M | EB0370 | 2022-09-20 | 2022-09-20 | e-Book | Platform : Cambridge Core |