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
Cooperative processes are widespread in physical and biological systems –– their elements may be pixels in a digital image, neurons in the central nervous system, or atoms in a solid lattice. This book presents a theory of cooperative computation as applied to perceptual inferencing problems. It explores such problems as the integration of multiple sensory information (multi–user fusion), figure–ground segregation, the segmentation of visual images, attention, the self–organization of feature–detecting neurons and short–term synaptic plasticity.
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