Dynamic interactions in neural networks : models and data

Michael A. Arbib, Shun-ichi Amari, editors

The study of neural networks is enjoying a great renaissance, both in computational neuroscience, the development of information processing models of living brains, and in neural computing, the use of neurally inspired concepts in the construction of "intelligent" machines. Thus the title of this volume has two interpretations: It presents models and data on the dynamic interactions occurring in the brain, and it exhibits the dynamic interactions between research in computational neuroscience and in neural computing, as scientists seek to find common principles to guide the understanding of the living brain and the design of artificial neural networks. This collection of contributions presents the current state of research, future trends and open problems in an exciting field of today's science.

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[目次]

  • Dynamic Interactions in Neural Networks: An Introductory Perspective.- I. Development and Learning in Adaptive Networks.- Dynamical Stability of Formation of Cortical Maps.- Visual Plasticity in the Auditory Pathway: Visual Inputs Induced into Auditory Thalamus and Cortex Illustrate Principles of Adaptive Organization in Sensory Systems.- The Hippocampus and the Control of Information Storage in the Brain.- A Memory with Cognitive Ability.- Feature Handling in Learning Algorithms.- Self-Organizing Neural Networks with the Mechanism of Feedback Information Processing.- II. Visual Function.- Interacting Subsystems for Depth Perception and Detour Behavior.- Role of Basal Ganglia in Initiation of Voluntary Movements.- Neural Mechanisms of Attention in Extrastriate Cortex of Monkeys.- Neuronal Representation of Pictorial Working Memory in the Primate Temporal Cortex.- III. Motor Control and the Cerebellum.- Hierarchical Learning of Voluntary Movement by Cerebellum and Sensory Association Cortex.- A Model for Oblique Saccade Generation and Adaptation.- Cerebellar Mechanisms in the Adaptation of Vestibuloocular Reflex.- A Kalman Filter Theory of the Cerebellum.- Conditioning and the Cerebellum.

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この本の情報

書名 Dynamic interactions in neural networks : models and data
著作者等 Arbib, Michael A.
甘利 俊一
Amari Shun-ichi
シリーズ名 Research notes in neural computing
出版元 Springer-Verlag
刊行年月 c1989
ページ数 viii, 280 p.
大きさ 24 cm
ISBN 3540968938
0387968938
NCID BA05139238
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言語 英語
出版国 アメリカ合衆国
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