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Click the serial number on the left to view the details of the item. |
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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Domany, Eytan |
Models of Neural Networks |
I04238 |
1994 |
eBook |
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| 2 |
Domany, Eytan |
Models of Neural Networks I |
I02704 |
1995 |
eBook |
|
| 3 |
Domany, Eytan |
Models of Neural Networks III |
I00444 |
1996 |
eBook |
|
| 4 |
Domany, Eytan |
Models of Neural Networks |
I00012 |
1991 |
eBook |
|
| 5 |
Helge Ritter |
Neural computation and self organizing maps - An introduction |
012820 |
1992 |
Book |
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1.
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| Title | Models of Neural Networks : Temporal Aspects of Coding and Information Processing in Biological Systems |
| Author(s) | Domany, Eytan;Hemmen, J. Leo van;Schulten, Klaus |
| Publication | New York, NY, Springer New York, 1994. |
| Description | XVI, 347 p : online resource |
| Abstract Note | Since the appearance of Vol. 1 of Models of Neural Networks in 1991, the theory of neural nets has focused on two paradigms: information coding through coherent firing of the neurons and functional feedback. Information coding through coherent neuronal firing exploits time as a cardinal degree of freedom. This capacity of a neural network rests on the fact that the neuronal action potential is a short, say 1 ms, spike, localized in space and time. Spatial as well as temporal correlations of activity may represent different states of a network. In particular, temporal correlations of activity may express that neurons process the same "object" of, for example, a visual scene by spiking at the very same time. The traditional description of a neural network through a firing rate, the famous S-shaped curve, presupposes a wide time window of, say, at least 100 ms. It thus fails to exploit the capacity to "bind" sets of coherently firing neurons for the purpose of both scene segmentation and figure-ground segregation. Feedback is a dominant feature of the structural organization of the brain. Recurrent neural networks have been studied extensively in the physical literature, starting with the ground breaking work of John Hop?? field (1982) |
| ISBN,Price | 9781461243205 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. EBOOK
5. EBOOK - SPRINGER
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I04238 |
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On Shelf |
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2.
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| Title | Models of Neural Networks I |
| Author(s) | Domany, Eytan;Hemmen, J.Leo van;Schulten, Klaus |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1995. |
| Description | XVIII, 355 p. 3 illus. in color : online resource |
| Abstract Note | This collection of articles responds to the urgent need for timely and comprehensive reviews in a multidisciplinary, rapidly developing field of research. The book starts out with an extensive introduction to the ideas used in the subsequent chapters, which are all centered around the theme of collective phenomena in neural netwerks: dynamics and storage capacity of networks of formal neurons with symmetric or asymmetric couplings, learning algorithms, temporal association, structured data (software), and structured nets (hardware). The style and level of this book make it particularly useful for advanced students and researchers looking for an accessible survey of today's theory of neural networks |
| ISBN,Price | 9783642798146 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Neurosciences
9. PATTERN RECOGNITION
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02704 |
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On Shelf |
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3.
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| Title | Models of Neural Networks III : Association, Generalization, and Representation |
| Author(s) | Domany, Eytan;Hemmen, J. Leo van;Schulten, Klaus |
| Publication | New York, NY, Springer New York, 1996. |
| Description | XIII, 311 p : online resource |
| Abstract Note | One of the most challenging and fascinating problems of the theory of neural nets is that of asymptotic behavior, of how a system behaves as time proceeds. This is of particular relevance to many practical applications. Here we focus on association, generalization, and representation. We turn to the last topic first. The introductory chapter, "Global Analysis of Recurrent Neural Net?? works," by Andreas Herz presents an in-depth analysis of how to construct a Lyapunov function for various types of dynamics and neural coding. It includes a review of the recent work with John Hopfield on integrate-and?? fire neurons with local interactions. The chapter, "Receptive Fields and Maps in the Visual Cortex: Models of Ocular Dominance and Orientation Columns" by Ken Miller, explains how the primary visual cortex may asymptotically gain its specific structure through a self-organization process based on Hebbian learning. His argu?? ment since has been shown to be rather susceptible to generalization |
| ISBN,Price | 9781461207238 |
| Keyword(s) | 1. COMPLEX SYSTEMS
2. DYNAMICAL SYSTEMS
3. EBOOK
4. EBOOK - SPRINGER
5. STATISTICAL PHYSICS
6. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I00444 |
|
|
On Shelf |
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4.
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| Title | Models of Neural Networks |
| Author(s) | Domany, Eytan;Hemmen, J. Leo van;Schulten, Klaus |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1991. |
| Description | XVI, 347 p : online resource |
| Abstract Note | One of the great inteJlectual cha1lenges for the next few decades is the question of brain organization. What is the basic mechanism for storage of memory? What are the processes that serve as the interphase between the basically chemical processes of the body and the very specific and nonstatistical operations in the brain? Above all. how is concept formation achieved in the human brain? I wonder whether the spirit of the physics that will be involved in these studies will not be akin to that which moved the founders of the ''rational foundation of thermodynamics". CN. Yangl 10 The human brain is said 10 have roughly 10 neurons connected through about 14 10 synapses. Each neuron is itself a complex device which compares and integrates incoming electrical signals and relays a nonlinear response to other neurons. The brain certainly exceeds in complexity any system which physicists have studied in the past. Nevertheless, there do exist many analogies of the We have witnessed during the last decade brain to simpler physical systems |
| ISBN,Price | 9783642971716 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. Neurosciences
9. PATTERN RECOGNITION
10. STATISTICAL PHYSICS
11. Statistical Physics and Dynamical Systems
12. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I00012 |
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On Shelf |
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