Competition and Cooperation in Neural Nets : Proceedings of the U.S.-Japan Joint Seminar held at Kyoto, Japan February 15–19, 1982 / edited by Shun-ichi Amari, Michael A. Arbib
(Lecture Notes in Biomathematics ; 45)
| データ種別 | 電子ブック |
|---|---|
| 出版者 | Berlin, Heidelberg : Springer Berlin Heidelberg |
| 出版年 | 1982 |
| 本文言語 | 英語 |
| 大きさ | XIV, 441 p : online resource |
書誌詳細を非表示
| 内容注記 | I. An Opening Perspective 1. Competitive and Cooperative Aspects in Dynamics of Neural Excitation and Self-Organization II. Reaction-Diffusion Equations 2. Sigmoidal Systems and Layer Analysis 3. Asymptotic Behavior of Stationary Homogeneous Neuronal Nets 4. Aggregation and Segregation Phenomena in Reaction-Diffusion Equations III. Single-Neuron and Stochastic Models 5. Nerve Pulse Interactions 6. Micronetworks in Nerve Cells 7. Role and Use of Noise in Biological Systems 8. Stochastic, Quantal Membrane Conductances and Neuronal Function 9. Diffusion Approximations and Computational Problems for Single Neurons’ Activity 10. Periodic Pulse Sequences Generated by an Analog Neuron Model 11. On a Mathematical Neuron Model IV. Oscillations in Neural Networks 12. Control of Distributed Neural Oscillators 13. Characteristics of Neural Network with Uniform Structure V. Development and Plasticity of the Visual Systems 14. Systems Matching and Topographic Maps: The Branch-Arrow Model (BAM) 15. Differential Localization of Plastic Synapses in the Visual Cortex of the Young Kitten: Evidence for Guided Development of the Visual Cortical Networks 16. Self-Organization of Neural Nets with Competitive and Cooperative Interaction 17. A Simple Paradigm for the Self-Organized Formation of Structured Feature Maps 18. Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition 19. On the Spontaneous Emergence of Neuronal Schemata 20. Associative and Competìve Principles of Learning and Development VI. Sensori-Motor Transformations and Learning 21. Modelling Neural Mechanisms of Visuomotor Coordination in Frog and Toad 22. Two-Dimensional Model of Retinal-Tectal-Pretectal Interactions for the Control of Prey-Predator Recognition and Size Preference in Amphibia 23. Tensor Theory of Brain Function:The Cerebellum as a Space-Time Metric 24. Mechanisms of Motor Learning 25. Dynamic and Plastic Properties of the Brain Stem Neuronal Networks as the Possible Neuronal Basis of Learning and Memory |
|---|---|
| 一般注記 | The human brain, wi th its hundred billion or more neurons, is both one of the most complex systems known to man and one of the most important. The last decade has seen an explosion of experimental research on the brain, but little theory of neural networks beyond the study of electrical properties of membranes and small neural circuits. Nonetheless, a number of workers in Japan, the United States and elsewhere have begun to contribute to a theory which provides techniques of mathematical analysis and computer simulation to explore properties of neural systems containing immense numbers of neurons. Recently, it has been gradually recognized that rather independent studies of the dynamics of pattern recognition, pattern format::ion, motor control, self-organization, etc. , in neural systems do in fact make use of common methods. We find that a "competition and cooperation" type of interaction plays a fundamental role in parallel information processing in the brain. The present volume brings together 23 papers presented at a U. S. -Japan Joint Seminar on "Competition and Cooperation in Neural Nets" which was designed to catalyze better integration of theory and experiment in these areas. It was held in Kyoto, Japan, February 15-19, 1982, under the joint sponsorship of the U. S. National Science Foundation and the Japan Society for the Promotion of Science. Participants included brain theorists, neurophysiologists, mathematicians, computer scientists, and physicists. There are seven papers from the U. S |
| 著者標目 | Amari, Shun-ichi editor Arbib, Michael A. editor SpringerLink (Online service) |
| 件 名 | LCSH:Medicine LCSH:Neurosciences LCSH:Biomathematics FREE:Biomedicine FREE:Neurosciences FREE:Mathematical and Computational Biology |
| 分 類 | DC23:612.8 |
| 巻冊次 | ISBN:9783642464669 
|
| ISBN | 9783642464669 |
| URL | http://dx.doi.org/10.1007/978-3-642-46466-9 |
目次／あらすじ