Computational neuroscience: theoretical insights into brain function
Gespeichert in:
| Format: | Elektronisch E-Book |
|---|---|
| Sprache: | English |
| Veröffentlicht: |
Amsterdam
Elsevier
2007
|
| Schriftenreihe: | Progress in brain research
v. 165 |
| Schlagworte: | |
| Online-Zugang: | FAW01 URL des Erstveröffentlichers |
| Beschreibung: | 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) Includes bibliographical references and index 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 |
| Beschreibung: | xiii, 555 pages |
| ISBN: | 9780080555027 0080555020 0444528237 9780444528230 |
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| 500 | |a Includes bibliographical references and index | ||
| 500 | |a 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 | ||
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| spelling | Computational neuroscience theoretical insights into brain function edited by Paul Cisek, Trevor Drew, John F. Kalaska Amsterdam Elsevier 2007 xiii, 555 pages txt rdacontent c rdamedia cr rdacarrier Progress in brain research v. 165 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) Includes bibliographical references and index 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 Neural Networks (Computer) Computer Simulation Models, Neurological Nervous System Physiology Neurosciences informatiques / Congrès MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh Computational neuroscience fast Cognitiewetenschap gtt Neurale netwerken gtt Medizin Computational neuroscience Congresses (DE-588)1071861417 Konferenzschrift gnd-content Cisek, Paul Sonstige oth Drew, Trevor Sonstige oth Kalaska, John F. Sonstige oth Groupe de recherche sur le système nerveux central Sonstige oth Université de Montréal Sonstige oth http://www.sciencedirect.com/science/bookseries/00796123/165 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Computational neuroscience theoretical insights into brain function Neural Networks (Computer) Computer Simulation Models, Neurological Nervous System Physiology Neurosciences informatiques / Congrès MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh Computational neuroscience fast Cognitiewetenschap gtt Neurale netwerken gtt Medizin Computational neuroscience Congresses |
| subject_GND | (DE-588)1071861417 |
| title | Computational neuroscience theoretical insights into brain function |
| title_auth | Computational neuroscience theoretical insights into brain function |
| title_exact_search | Computational neuroscience theoretical insights into brain function |
| title_full | Computational neuroscience theoretical insights into brain function edited by Paul Cisek, Trevor Drew, John F. Kalaska |
| title_fullStr | Computational neuroscience theoretical insights into brain function edited by Paul Cisek, Trevor Drew, John F. Kalaska |
| title_full_unstemmed | Computational neuroscience theoretical insights into brain function edited by Paul Cisek, Trevor Drew, John F. Kalaska |
| title_short | Computational neuroscience |
| title_sort | computational neuroscience theoretical insights into brain function |
| title_sub | theoretical insights into brain function |
| topic | Neural Networks (Computer) Computer Simulation Models, Neurological Nervous System Physiology Neurosciences informatiques / Congrès MEDICAL / Neuroscience bisacsh PSYCHOLOGY / Neuropsychology bisacsh Computational neuroscience fast Cognitiewetenschap gtt Neurale netwerken gtt Medizin Computational neuroscience Congresses |
| topic_facet | Neural Networks (Computer) Computer Simulation Models, Neurological Nervous System Physiology Neurosciences informatiques / Congrès MEDICAL / Neuroscience PSYCHOLOGY / Neuropsychology Computational neuroscience Cognitiewetenschap Neurale netwerken Medizin Computational neuroscience Congresses Konferenzschrift |
| url | http://www.sciencedirect.com/science/bookseries/00796123/165 |
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