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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

(1987), Spin glass theory and beyond. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. 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. Pattern Recognition and Statistical Learning: Neural Networks: Machine Learning and Information Theory: Image Processing: Signal Processing: Books of Historical Interest . Palmer, Introduction to the Theory of Neural Computation, Addison Wesley Publ. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. John Hertz, Anders Krogh, and Richard G. Free download ebook Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity) pdf. Many disciplines from low-level biology through psychology and computer science. Hertz - Google Books The first chapters give a general introduction to the. Gaito, Algorithmic Inference in Machine Learning, International Series on Advanced Intelligence, Vol. Introduction to the Theory of Neural Computation - John A.