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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
ISBN: 0201515601, 9780201515602
Page: 328
Publisher: Westview Press
Format: djvu

No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. Books: Introduction To The Theory Of Neural Computation, Volume I. 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. 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. This book comprehensively discusses the neural network models from a statistical mechanics perspective. Introduction to the Theory of Neural Computation. Many disciplines from low-level biology through psychology and computer science. Amazon.com: Understanding Neural Networks eBook: John Iovine. Based on event-driven computation, SpikeNet have reported successfully tracking and recognizing faces in real time without increasing computation burden. 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. Hertz JA, Krogh AS, Palmer RG (1991) Introduction To The Theory Of Neural Computation, Volume I. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. Amazon.com: Neural Networks: Books 21 new from $129.99.. €�An Introduction to Neural Networks”, Anderson J.A., PHI, 1999. Palmer, “Introduction to the Theory of Neural Computation.” Reading, MA: Addison-Wesley, 1991. Palmer, Addison- Wesley, California, 1991. €�Introduction to the Theory of Neural Computation”, Hertz J.