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Models Of Neural Networks: Temporal Aspects Of Coding And Information Proce...
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eBay item number:184088743483
Item specifics
- Condition
- Book Title
- Models Of Neural Networks: Temporal Aspects Of Coding And In...
- ISBN
- 9781461287360
- Publication Name
- Models of Neural Networks : Temporal Aspects of Coding and Information Processing in Biological Systems
- Item Length
- 9.3in
- Publisher
- Springer New York
- Publication Year
- 2011
- Series
- Physics of Neural Networks Ser.
- Type
- Textbook
- Format
- Trade Paperback
- Language
- English
- Item Height
- 0.3in
- Item Width
- 6.1in
- Item Weight
- 19.5 Oz
- Number of Pages
- Xvi, 347 Pages
About this product
Product Information
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).
Product Identifiers
Publisher
Springer New York
ISBN-10
1461287367
ISBN-13
9781461287360
eBay Product ID (ePID)
143889357
Product Key Features
Publication Name
Models of Neural Networks : Temporal Aspects of Coding and Information Processing in Biological Systems
Format
Trade Paperback
Language
English
Publication Year
2011
Series
Physics of Neural Networks Ser.
Type
Textbook
Number of Pages
Xvi, 347 Pages
Dimensions
Item Length
9.3in
Item Height
0.3in
Item Width
6.1in
Item Weight
19.5 Oz
Additional Product Features
Number of Volumes
1 Vol.
Lc Classification Number
Qh505
Table of Content
1. Coding and Information Processing in Neural Networks.- 1.1 Description of Neural Activity.- 1.2 Oscillator Models.- 1.3 Spiking Neurons.- 1.4 A Network of Spiking Neurons.- 1.5 Hebbian Learning of Spatio-Temporal Spike Patterns.- 1.6 Summary and Conclusions.- References.- 2. The Correlation Theory of Brain Function.- Foreword.- 2.1 Introduction.- 2.2 Conventional Brain Theory.- 2.3 The Correlation Theory of Brain Function.- 2.4 Discussion.- References.- 3. Firing Rates and Well-Timed Events in the Cerebral Cortex.- 3.1 Measuring the Activity of Nerve Cells.- 3.2 Rate Functions and Stationary Point Processes.- 3.3 Rate Functions for Nonstationary Point Processes.- 3.4 Rate Functions and Singular Events.- References.- 4. The Role of Synchrony in Neocortical Processing and Synaptic Plasticity.- 4.1 Introduction.- 4.2 Pattern Processing and the Binding Problem.- 4.3 Evidence for Dynamic Interactions Between Spatially Distributed Neurons.- 4.4 Stimulus-Dependent Changes of Synchronization Probability.- 4.5 Synchronization Between Areas.- 4.6 The Synchronizing Connections.- 4.7 Experience-Dependent Modifications of Synchronizing Connections and Synchronization Probabilities.- 4.8 Correlation Between Perceptual Deficits and Response Synchronization in Strabismic Amblyopia.- 4.9 The Relation Between Synchrony and Oscillations.- 4.10 Rhythm Generating Mechanisms.- 4.11 The Duration of Coherent States.- 4.12 Synchronization and Attention.- 4.13 The Role of Synchrony in Synaptic Plasticity.- 4.14 The Role of Oscillations in Synaptic Plasticity.- 4.15 Outlook.- 4.16 Concluding Remarks.- References.- 5. Associative Binding and Segregation in a Network of Spiking Neurons.- 5.1 Introduction.- 5.2 Spike Response Model.- 5.3 Theory of Locking.- 5.4 Simulation Results.- 5.5 Application to Binding and Segmentation.- 5.6 Context Sensitive Binding in a Layered Network with Feedback.- 5.7 Discussion.- 5.8 Conclusions.- References.- 6. Modeling the Sensory Computations of the Olfactory Bulb.- 6.1 Introduction.- 6.2 Anatomical and Physiological Background.- 6.3 Modeling the Neural Oscillations in the Olfactory Bulb.- 6.4 A Model of Odor Recognition and Segmentation in the Olfactory Bulb.- 6.5 A Model of Odor Segmentation Through Odor Fluctuation Analysis.- 6.6 Discussion.- References.- 7. Detecting Coherence in Neuronal Data.- 7.1 Introduction.- 7.2 Time Resolved Detection of Coherence.- 7.3 Memory and Switching in Local Field Potentials from Cat Visual Cortex.- 7.4 A Model-Dependent Approach.- 7.5 Memory and Switching in Multiunit Activities from Cat Visual Cortex.- 7.6 Reconstruction of Synchronous Network States.- 7.7 Summary.- References.- 8. Hebbian Synaptic Plasticity: Evolution of the Contemporary Concept.- 8.1 Concept of a Hebbian Synapse.- 8.2 Experimental Evidence for Hebbian Synaptic Mechanisms.- 8.3 Biophysical Models of LTP Induction.- 8.4 Bidirectional Regulation of Synaptic Strength.- 8.5 Interaction Between Dendritic Signaling and Hebbian.- Learning.- References.- 9. Reentry and Dynamical Interactions of Cortical Networks.- 9.1 Introduction.- 9.2 Models of Cortical Integration.- 9.3 Summary and Conclusion.- References.
Copyright Date
1994
Topic
Life Sciences / Biophysics, Neural Networks
Intended Audience
Scholarly & Professional
Illustrated
Yes
Genre
Computers, Science
Item description from the seller
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eBay item number:184088743483
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