Organization of neural networks : structures and models
Author(s)
Bibliographic Information
Organization of neural networks : structures and models
VCH , Distribution, U.S.A. and Canada, VCH, c1988
- : U.S.
- : Germany
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Note
Papers presented at a meeting held in the Werner-Reimers-Stiftung in Bad Homburg, F.R.G., Sept. 16-19, 1986
Includes bibliographies and index
Description and Table of Contents
Description
Twenty-two papers by leading experts examine the theoretical analysis and modeling of brain function, mainly of higher vertebrates. The papers are derived from a meeting on theoretical neuroscience held in Bad Homburg, West Germany, in September 1986. The book presents an intensive exchange of ideas by a selected interdisciplinary circle on theoretical problems of neural information processing. The papers have been revised and supplemented with edited versions of the discussions or comments subsequently sent to the editors.
Table of Contents
- An Introduction to Theoretical Neuroscience and Its Representative in the Present Volume
- Elements of Signal Coding in the Auditory Nervous System
- Pattern Recognition of Spectral Information in Hearing
- Discussion
- Information Flow and State in Cortical Neural Networks: Interpreting Multi-Neuron Experiments
- Discussion
- Discourse on Current Issues in Multi-Neuron Studies
- Principles of Cortical Network Organization
- Generation of Spatial Order in the Developing Nervous System
- Discussion
- Co-Operation Between Retinal and Cortical Input in the Midbrain of Mammals
- Discussion
- Concepts for Changing Neural Network Topology
- The Visual System
- Design for a Sensorium
- Discussion
- The Temporal Integration of 3-D Structure from Motion: A Computational and Psychophysical Study
- Discussion
- Some Basic Organizational Features of the Somatosensory Nervous System
- Self-Organizing Processes in Adult Neo-Cortex
- Discussion
- Aspects of Human Memory and Amnesia Relevant to Neurobiological and Computational Models of Memory
- Categorization in a Neural Network
- Discussion
- The Organization of Sequential Memory: Sparse Representations and the Targetting Problem
- Discussion
- Neural Networks and Models for Learning and Memory
- Discussion
- Mathematical Theory of Self-Organization in Neural Nets
- Comments
- Learning Control Structures with Neuron-Like Associative Memory Systems
- Discussion
- Summary Statement: An Epigenetic Landscape of Brain Theory.
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