Computational Neuroscience : Theoretical Insights Into Brain Function /

• Συγγραφή απο Οργανισμό/Αρχή: Groupe de recherche sur le système nerveux central (sponsoring body.)
• Άλλοι συγγραφείς: Cisek, Paul (Επιμελητής έκδοσης), Drew, Trevor (Επιμελητής έκδοσης), Kalaska, John F. (Επιμελητής έκδοσης)
• Μορφή: Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Amsterdam ; London : Elsevier, 2007.
• Σειρά: Progress in brain research ; v. 165.
• Θέματα: Computational neuroscience > Congresses.; Neural Networks (Computer); Computer Simulation.; Models, Neurological.; Nervous System Physiological Phenomena.; Neurosciences informatiques > Congrès.; MEDICAL > Neuroscience.; PSYCHOLOGY > Neuropsychology.; Computational neuroscience.; Cognitiewetenschap.; Neurale netwerken.; Brain function; Electronic books.; Conference papers and proceedings.
• Περιγραφή τεκμηρίου: Proceedings of a symposium held at the Université de Montréal on May 8-9, 2006, organized by the Groupe de recherche sur le système nerveux central (GRSNC).
• Φυσική περιγραφή: 1 online resource (xiii, 555 pages) : illustrated (some color).
• Μορφή: Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002.
• Βιβλιογραφία: Includes bibliographical references and index.
• ISBN: 9780080555027; 0080555020; 0444528237; 9780444528230
• ISSN: 0079-6123 ;

Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function. Includes contributions by some of the most influential people in the field of computational neuroscience Demonstrates how computational approaches are being used today to interpret experimental data Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning.