Models of neural networks I

Provides an in-depth analysis of both paradigms starting with an introduction to the ideas used in the subsequent chapters. In this book, one finds a discussion of salient features such as coherent oscillations and their detection, associative binding and segregation, Hebbian learning, and sensory c...

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Bibliographic Details
Other Authors: Domany, E. (Eytan) 1947-, Hemmen, J.L. van (Jan Leonard) 1947-, Schulten, K. (Klaus)
Format: Book
Language:English
Published: Berlin Springer Verlag [1995]
Edition:Second updated edition
Series:Physics of neural networks
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090 |a QA 76.87  |b .M57 1995 
245 0 0 |a Models of neural networks I  |c E. Domany, J.L. van Hemmen, K. Schulten (eds.) 
250 |a Second updated edition 
264 1 |a Berlin  |b Springer Verlag  |c [1995] 
264 4 |c ©1995 
300 |a xviii, 355 pages  |b illustrations  |c 24 cm 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
490 1 |a Physics of neural networks 
504 |a Includes bibliographical references and index 
505 0 |a Collective phenomena in neural networks -- Information from structure: a sketch of neuroanatomy -- Storage capacity and learning in ising-spin neural networks -- Dynamics of learning -- Hierarchical organization of memory -- Asymmetrically diluted neural networks -- Temporal association -- Self-organizing maps and adaptive filters 
520 |a Provides an in-depth analysis of both paradigms starting with an introduction to the ideas used in the subsequent chapters. In this book, one finds a discussion of salient features such as coherent oscillations and their detection, associative binding and segregation, Hebbian learning, and sensory computations in the visual and olfactory cortex. 
650 0 |a Neural networks (Computer science) 
700 1 |a Domany, E.  |q (Eytan)  |d 1947- 
700 1 |a Hemmen, J.L. van  |q (Jan Leonard)  |d 1947- 
700 1 |a Schulten, K.  |q (Klaus) 
830 0 |a Physics of neural networks 
999 |a vtls000003059  |c 3056  |d 3056