From principle component analysis to Kalman filters, information theory to attractor dynamics, this book is a brilliant introduction to the mathematical and engineering methods used to analyze neural function. -- Leif Finkel, Professor, Neuroengineering Research Laboratories, University of Pennsylvania In this brilliant volume, Eliasmith and Anderson present a novel theoretical framework for understanding the functional organization and operation of nervous systems, from the cellular level to the level of large-scale networks. -- John P. Miller, Center for Computational Biology, University of Montana This book represents a significant advance in computational neuroscience. Eliasmith and Anderson have developed an elegant framework for understanding representation, computation, and dynamics in neurobiological systems. The book is beautifully written and it should be accessible to a wide variety of readers. -- Bruno A. Olshausen, Center for Neuroscience, University of California, Davis
Chris Eliasmith is Assistant Professor in the Department of Philosophy and the Department of Systems Design Engineering at the University of Waterloo. Charles H. Anderson is Research Professor in the Department of Anatomy and Neurobiology and the Department of Physics at Washington University, St. Louis.
"From principle component analysis to Kalman filters, information theory to attractor dynamics, this book is a brilliant introduction to the mathematical and engineering methods used to analyse neural function." - Leif Finkel, Professor, Neuroengineering Research Laboratories, University of Pennsylvania
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