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Introduction To The Theory Of Neural Computation, Volume I by Anders S. Krogh, John A. Hertz, Richard G. Palmer

Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer ebook
Format: djvu
ISBN: 0201515601, 9780201515602
Page: 328
Publisher: Westview Press

[7] Hertz, J., Krogh, A., Palmer, R. D913;Technical Analysis of Stock Trends;8;Robert D. Nunez, Neocortical Dynamics and Human EEG Rhythms (Oxford University Press, New York,. Addison-Wesley, Redwood City, CA. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. Title:Introduction To The Theory Of Neural Computation, Volume I (Santa Fe Institute Series) free ebook dovvnload. This book comprehensively discusses the neural network models from a statistical mechanics perspective. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. Many disciplines from low-level biology through psychology and computer science. Neural computation has been described as “ embarrassingly parallel” as each neuron can be thought of as spike frequency and spike volume is proposed and used to evaluate the system. Introduction to the theory of neural computation. Wesley, Redwood City, CA, 1991). This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. A clear exposition of the theoretical aspects of neural computation. D912;Modern Power Station Practice - Incorporating Modern Power System Practice Volume K;3;British Electricity International;Pergamon Press;1991; 125.000 ; 93.750. Palmer;Addison Wesley;; 92.000 ; 69.000. Palmer, Introduction to the Theory of Neural Computation (Addison-. D970;Introduction to The Theory of Neural Computation;;John Hertz, Anders Krogh, Richard G.