Neural Network Dynamics
Proceedings of the Workshop on Complex Dynamics in Neural Networks, June 17-21 1991 at IIASS, Vietri, Italy
1st Edition
Published on 12. October 1992
Book
Paperback/Softback
XII, 371 pages
978-3-540-19771-3 (ISBN)
Description
Neural Network Dynamics
is the latest volume in the
Perspectives in Neural Computing
series. It contains papers presented at the 1991 Workshop on Complex Dynamics in Neural Networks, held at IIASS in Vietri, Italy. The workshop encompassed a wide range of topics in which neural networks play a fundamental role, and aimed to bridge the gap between neural computation and computational neuroscience. The papers - which have been updated where necessary to include new results - are divided into four sections, covering the foundations of neural network dynamics, oscillatory neural networks, as well as scientific and biological applications of neural networks. Among the topics discussed are: A general analysis of neural network activity; Descriptions of various network architectures and nodes; Correlated neuronal firing; A theoretical framework for analyzing the behaviour of real and simulated neuronal networks; The structural properties of proteins; Nuclear phenomenology; Resonance searches in high energy physics; The investigation of information storage; Visual cortical architecture; Visual processing.
Neural Network Dynamics
is the first volume to cover neural networks and computational neuroscience in such detail. Although it is primarily aimed at researchers and postgraduate students in the above disciplines, it will also be of interest to researchers in electrical engineering, medicine, psychology and philosophy.
More details
Series
Edition
1st Edition.
Language
English
Place of publication
London
United Kingdom
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
9 s/w Abbildungen
XII, 371 p. 9 illus.
Dimensions
Height: 242 mm
Width: 170 mm
Thickness: 21 mm
Weight
656 gr
ISBN-13
978-3-540-19771-3 (9783540197713)
DOI
10.1007/978-1-4471-2001-8
Schweitzer Classification
Other editions
Additional editions
J.G. Taylor | E.R. Caianiello | R.M.J. Cotterill
Neural Network Dynamics
Proceedings of the Workshop on Complex Dynamics in Neural Networks, June 17-21 1991 at IIASS, Vietri, Italy
E-Book
12/2012
Springer
€53.49
Available for download
Content
Foundations of Neural Net Dynamics.- Information and Pattern Capacities in Neural Associative Memories with Feedback for Sparse Memory Patterns.- Associative Reinforcement Training Using Probabilistic RAM Nets.- Unlearning and its Relevance to REM Sleep: Decorrelating Correlated Data.- Optimal Architectures and High-Order Networks.- Deterministic Networks with Ternary Neurons.- Nets, Structure, Hierarchy.- Training Random Asymmetric 'Neural' Networks Towards Chaos - A Progress Report.- Complex Dynamics of a Discrete Time Model of a Neuron.- Oscillatory Neural Networks.- Correlated Neuronal Firing: A Clue to the Integrative Functions of Cortex?.- Two-Layered Physiology-Oriented Neuronal Network Models that Combine Dynamic Feature Linking via Synchronization with a Classical Associative Memory.- Theoretical Framework for Analysing the Behaviour of Real and Simulated Neural Networks.- Coupled Neuronal Oscillatory Systems.- Gamma-Band Oscillations in a Cortical Model.- Information Processing by Dynamical Interaction of Oscillatory Modes in Coupled Cortical Networks.- Analysis of Oscillatory Regimes of a Coupled Neural Oscillator System with Application to Visual Cortex Modeling.- Systems of Relaxation Oscillators with Time-Delayed Coupling.- Cortical Coherent Activity Induced by Thalamic Oscillations.- A 'Microscopic' Model of Collective Oscillations in the Cortex.- Temporal Processing in Brain Activity.- Scientific Applications of Neural Networks.- Structural Properties of Proteins Predicted by Neural Networks.- Nuclear Phenomenology with Neural Nets.- Applying Neural Networks to Resonance Search in High Energy Physics.- Visual Comparison of Information Storage in Various Neural Network Models.- Biological Applications of Neural Networks.- Activation Dynamics ofSpace-Variant Continuous Networks.- Hierarchical Neural Representations by Synchronized Activity: A Concept for Visual Pattern Recognition.