Neurodynamics: An Exploration in Mesoscopic Brain Dynamics /

This volume provides an overview of important work carried out by Professor Walter Freeman of the University of Berkeley, California, USA. Collecting together his published works over the last 35 years, it charts his groundbreaking research into perception and other cognitive operations in animals a...

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Bibliographic Details
Main Author: Freeman, Walter J.
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: London : Springer London : Imprint : Springer, 2000.
Series:Perspectives in neural computing.
Subjects:
Online Access:Connect to the full text of this electronic book

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520 |a This volume provides an overview of important work carried out by Professor Walter Freeman of the University of Berkeley, California, USA. Collecting together his published works over the last 35 years, it charts his groundbreaking research into perception and other cognitive operations in animals and humans and looks at how this can be applied to computer hardware to provide the foundations for novel - and greatly improved - machine intelligence. It provides a step-by-step description of the concepts and data needed by electrical engineers, computer scientists and cognitivists to understand and emulate pattern recognition in biological systems at a level of competence which has not yet been matched by any form of Artificial Intelligence. It offers a unique blend of theory and experiment and, historically, it also demonstrates the impact of computers on the design, execution, and interpretation of experiments in neurophysiology over the past five decades. 
505 0 |a Part 1 The Dynamics of Neural Interaction and Transmission: Prepyriform Dipole Field -- Digital Adaptive Filters -- Linear Distributed Negative Feedback -- Multiple Feedback Loops in Cerebral Cortex -- Prepyriform Isolation and Tetanization -- Patterns of Variation in Prepyriform AEP -- Analog Model of Prepyriform Cortex -- Stability Characteristics of Positive Feedback -- Part 2 Designation of Contents as Meaning, not Information: Spatial Properties of Olfactory EEG -- Assymetric Sigmoid Function in Populations -- AM Patterns Governed by Chaotic Attractors -- Simulation of Chaotic Olfactory Dynamics -- Spatiotemporal Neocortical EEG Analysis -- Taming Deterministic Chaos with Noise -- Epilogue: Problems for Further Development in Mesoscopic Brain Dynamics. 
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