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

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. This book comprehensively discusses the neural network models from a statistical mechanics perspective. Gaito, Algorithmic Inference in Machine Learning, International Series on Advanced Intelligence, Vol. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. Hertz - Google Books The first chapters give a general introduction to the. Palmer, Introduction to the Theory of Neural Computation, Addison Wesley Publ. D912;Modern Power Station Practice - Incorporating Modern Power System Practice Volume K;3;British Electricity International;Pergamon Press;1991; 125.000 ; 93.750. First of all, when we are talking about a neural network, we *should* usually better say "artificial neural network" (ANN), because that is what we mean most of the time. Pattern Recognition and Statistical Learning: Neural Networks: Machine Learning and Information Theory: Image Processing: Signal Processing: Books of Historical Interest . Introduction to the Theory of Neural Computation - John A. (1987), Spin glass theory and beyond. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. Introduction to the Theory of Neural Computation. D913;Technical Analysis of Stock Trends;8;Robert D. D970;Introduction to The Theory of Neural Computation;;John Hertz, Anders Krogh, Richard G. Based on event-driven computation, SpikeNet have reported successfully tracking and recognizing faces in real time without increasing computation burden. John Hertz, Anders Krogh, and Richard G. Many disciplines from low-level biology through psychology and computer science. This course provides an introduction to the theory of neural computation. Palmer;Addison Wesley;; 92.000 ; 69.000.