E-Book, Englisch, 424 Seiten
Gluck / Rumelhart Neuroscience and Connectionist Theory
Erscheinungsjahr 2013
ISBN: 978-1-134-75166-2
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 424 Seiten
Reihe: Developments in Connectionist Theory Series
ISBN: 978-1-134-75166-2
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena. Each chapter presents a representative example of how biological data and network models interact with the authors' research. The biological phenomena cover network- or circuit-level phenomena in humans and other higher-order vertebrates.
Autoren/Hrsg.
Weitere Infos & Material
Contents: B.L. McNaughton, L. Nadel, Hebb-Marr Networks and the Neurobiological Representation of Action in Space. M.F. Bear, L.N. Cooper, Molecular Mechanisms for Synaptic Modification in the Visual Cortex: Interaction Between Theory and Experiment. R. Granger, J. Ambros-Ingerson, U. Staubli, G. Lynch, Memorial Operation of Multiple, Interacting Simulated Brain Structures. M.A. Gluck, E.S. Reifsnider, R.F. Thompson, Adaptive Signal Processing and the Cerebellum: Models of Classical Conditioning and VOR Adaptation. W.B. Levy, C.M. Colbert, N.L. Desmond, Elemental Adaptive Processes of Neurons and Synapses: A Statistical/Computational Perspective. H.T. Wang, B. Mathur, C. Koch, I Thought I Saw It Move: Computing Optical Flow in the Primate Visual System. K.D. Miller, Correlation-Based Models of Neural Development. D. Zipser, Modeling Cortical Computation With Backpropagation.
