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OverviewDevelopments in the neurosciences have considerably modified our knowledge of both the operating modes of neurons and information processing in the cortex. These developments have led to interest in a coding scheme which relies on precise spatio-temporal patterns from both the theoretical and experimental points of view. Further developments in this field may be of importance for our understanding of the basic mechanisms of perception and cognition. They could also lead to concepts in applications directed towards artificial perception and pattern recognition. This book covers the lectures delivered at a summer school on neuronal information processing. It includes information on all of the above developments and also provides the reader with the state of knowledge in every relevant field, including the neurosciences, physics, mathematics and information and control theory. Full Product DetailsAuthor: P Combe (Centre De Physique Theorique, France) , G Burdet (Centre De Physique Theorique, France) , O Parodi (Centre De Physique Theorique, France) , O. Parodi (all of the Centre de Physique Theorique, France)Publisher: World Scientific Publishing Co Pte Ltd Imprint: World Scientific Publishing Co Pte Ltd Volume: 7 Dimensions: Width: 15.90cm , Height: 1.90cm , Length: 23.00cm Weight: 0.454kg ISBN: 9789810238261ISBN 10: 9810238266 Pages: 220 Publication Date: 02 June 1999 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsTemporal coding with and without clocks; modelling synfire networks; neuronal decoding of temporal signal; algorithms for the detection of connectedness and their neural implementation; from complex signal to adapted behaviour - a theoretical approach of the honeybee olfactory brain; reducing the complexity of neural nets for industrial applications and biological models; positive regulation circuits and memory; sensory coding - information maximization and redundancy reduction; learning - a geometrical approach.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |