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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

A clear exposition of the theoretical aspects of neural computation. Palmer, Addison- Wesley, California, 1991. Introduction to the theory of neural computation. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. €�Introduction to the Theory of Neural Computation”, Hertz J. This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. Free download ebook Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity) pdf. €�An Introduction to Neural Networks”, Anderson J.A., PHI, 1999. Palmer, “Introduction to the Theory of Neural Computation.” Reading, MA: Addison-Wesley, 1991. Many disciplines from low-level biology through psychology and computer science. Addison-Wesley, Redwood City, CA. This course provides an introduction to the theory of neural computation. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. 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. Hertz JA, Krogh AS, Palmer RG (1991) Introduction To The Theory Of Neural Computation, Volume I. [7] Hertz, J., Krogh, A., Palmer, R. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse.