Computer Simulation in Brain Science
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There has recently been an enormous increase in research activity aimed at elucidating the basis for cortical activity in the brain. Among modern techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are now the subject of intense study, and some remarkable properties have already come to light: these networks are able to discriminate, remember and associate. Professor Cotterill has assembled many of the leading experts in this burgeoning field to produce an exciting review of advances to date. The volume covers the creat...
There has recently been an enormous increase in research activity aimed at elucidating the basis for cortical activity in the brain. Among modern techniques used in this area of scientific endeavour, few have proved as popular as computer simulation. Model neural networks are now the subject of intense study, and some remarkable properties have already come to light: these networks are able to discriminate, remember and associate. Professor Cotterill has assembled many of the leading experts in this burgeoning field to produce an exciting review of advances to date. The volume covers the creation of computer models of neural networks, and their use in the study of neural function, of cognition, memory and vision. The results and future directions explored here will have an important bearing on research into brain function, physiology, psychology, biophysics and artificial intelligence.
Table of contents:
Part I. Neurons and Neural Networks; Part II. Synaptic Plasticity, Topological and Temporal Features, and Higher Cortical Processing; Part III. Spin Glass Models and Cellular Automata; Part IV. Cyclic Phenomena and Chaos in Neural Networks; Part V. The Cerebellum and the Hippocampus; Part VI. Olfaction, Vision and Cognition; Part VII. Applications to Experiment, Communication and Control.
Table of contents:
Part I. Neurons and Neural Networks; Part II. Synaptic Plasticity, Topological and Temporal Features, and Higher Cortical Processing; Part III. Spin Glass Models and Cellular Automata; Part IV. Cyclic Phenomena and Chaos in Neural Networks; Part V. The Cerebellum and the Hippocampus; Part VI. Olfaction, Vision and Cognition; Part VII. Applications to Experiment, Communication and Control.
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