Biology and Computation: A Physicist's ChoiceWorld Scientific, 1994 - 852 pages This book provides a comprehensive review of the works in the rapidly evolving field of neural networks and brain studies. Its purpose is two-fold: to help physicists entering this field to get a broader view of the context of the domain, and to help scientists of other disciplines to reach a better understanding of the physicists' contributions within a context of perspectives they can relate to.Included in the volume are 68 carefully selected, high quality reprints to provide the volume with both breadth and depth. It is organized into 5 sections and 22 chapters, both the sections and chapters being preceded by introductory comments by the editors. |
Contents
SETTING THE STAGE | 1 |
More is Different | 21 |
b Physics Biology Computation | 35 |
Physics Biological Computation and Complementarity | 52 |
Evolution and Tinkering | 72 |
Physics and Antiphysics | 78 |
A Briefing for Bayesians | 98 |
d Some Perceptual Facts and Issues | 124 |
c Neuroanatomy | 259 |
Axonal Trees and Cortical Architecture | 271 |
d Aspects of Biocomputation | 276 |
Early Vision and Focal Attention | 284 |
Neuropsychology and the Nature of Consciousness | 323 |
MODES OF COMPUTATION | 337 |
The Space of Interactions in Neural Network Models | 361 |
b Parallel Algorithms | 375 |
Understanding Images in the Brain | 136 |
BIOLOGICAL CONCEPTS AND METHODS | 164 |
Mental Rotation of ThreeDimensional Objects | 180 |
b Information Theory and Perception | 186 |
Some Informational Aspects of Visual Perception | 196 |
A Neuron Doctrine for Perceptual | 224 |
Conditions for Versatile Learning Helmholtzs Unconscious | 248 |
An Analogue Approach to the Travelling Salesman Problem | 386 |
Confronting Neural Network and Human Behavior in a | 437 |
Statistical Mechanics of Learning from Examples | 447 |
On the Classification of Learning Machines | 483 |
d Early Sensory Processing | 490 |
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activity algorithm axons Barlow behavior biological bits Brain Res cerebellum cerebral cerebral cortex circuits cognitive color complex computational connections contours correlation cortical defined dendrites distribution entropy equation error example experimental experiments eye movements fibres figure filter frequency function globus pallidus hippocampus Hubel human input interactions Julesz layer learning limit mechanisms memory monkey motor neocortex nervous system neural networks neurons Neurosci noise nucleus objects optimal organization orientation output parameters pathways pattern perception perceptron physical Physiol physiological position possible predict prior probability probability problem processing projection properties psychophysical pyramidal cells random receptive field region represent representation response retinal rotation rule saccade Science selective sensory signal simple solution space spatial specific spike statistical stereopsis stimulus structure synapses target task temporal temporal code texton texture thalamus theory tion vector vision visual area visual cortex visual system weight space weights