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" Modeling brain function : "
Daniel J. Amit.
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BL
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| Record Number
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706105
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b528294
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| Main Entry
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Amit, D. J.,1938-2007.
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| Title & Author
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Modeling brain function : : the world of attractor neural networks /\ Daniel J. Amit.
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| Publication Statement
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Cambridge [England] ;New York :: Cambridge University Press,, 1989.
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| Page. NO
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xvii, 504 p. :: ill. ;; 24 cm.
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| ISBN
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0521361001
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: 0521421241
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: 9780521361002
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: 9780521421249
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Philosophy and Methodology -- Reduction to physics and physics modeling analogues -- Methods for mind and matter -- Some methodological questions -- Neurophysiological Background -- Building blocks for neural networks -- Dynamics of neurons and synapses -- More complicated building blocks -- From biology to information processing -- Modeling Simplified Neurophysiological Information -- Neuron as perceptron and formal neuron -- Digression on formal neurons and perceptrons -- Beyond the basic perceptron -- Building blocks for attractor neural networks (ANN) -- The Network and the World -- Neural states, network states and state space -- Digression on the relation between measures -- Representations on network states -- Thinking about output mechanism -- Spontaneous Computation vs. Cognitive Processing -- Input systems, transducers, transformers -- ANN's as computing elements -- a position -- ANN's and computation of mental representations -- The Basic Attractor Neural Network -- Networks of Analog, Discrete, Noisy Neurons -- Analog neurons, spike rates, two-state neural models -- Binary representation of single neuron activity -- Noisy dynamics of discrete two-state neurons -- Dynamical Evolution of Network States -- Network dynamics of discrete-neurons -- Synchronous dynamics -- Asynchronous dynamics -- Sample trajectories and lessons about dynamics -- Types of trajectories and possible interpretation -- a summary -- On Attractors -- The landscape metaphor -- Perception, recognition and recall.
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| Subject
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Brain-- Computer simulation.
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Neural computers.
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Neural networks (Neurobiology)
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Models, Neurological.
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Nerve Net.
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Nervous System Physiological Phenomena.
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| LC Classification
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QP376.A427 1989
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