A fully integrated, up-to-date exploration of self-organizing processes
Our understanding of self-organizing cooperative systems is advancing by leaps and bounds, shedding new light on the nature of life and human consciousness, while offering solutions to a wide range of technical problems. Martin Beckerman, a researcher working at Oak Ridge National Laboratory, has written this book in an effort to help researchers working in such far-flung fields as signal processing, neuroscience, and robotics stay abreast of the latest advances in adaptive cooperative systems.
Adaptive Cooperative Systems
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This book presents a unified treatment of self-organizing processes, drawing upon examples from physics, spatial statistics, image processing, and brain science. It offers a rigorous theory of cooperative computation as applied to problems in perceptual inferencing. The problems addressed include the integration of multiple sensory information (multiuser function), figure ground segregation, the segmentation of visual images, attention, the self-organization of feature detecting neurons, and short-term synaptic plasticity.
MARTIN BECKERMAN, PhD, is a member of the scientific research staff in the Computer Science and Mathematics Division at Oak Ridge National Laboratory in Oak Ridge, Tennessee.
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