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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

Addison-Wesley, Redwood City, CA. Pattern Recognition and Statistical Learning: Neural Networks: Machine Learning and Information Theory: Image Processing: Signal Processing: Books of Historical Interest . Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. This book comprehensively discusses the neural network models from a statistical mechanics perspective. €�Introduction to the Theory of Neural Computation”, Hertz J. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. [7] Hertz, J., Krogh, A., Palmer, R. Gaito, Algorithmic Inference in Machine Learning, International Series on Advanced Intelligence, Vol. Palmer, Introduction to the Theory of Neural Computation, Addison Wesley Publ. 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. John Hertz, Anders Krogh, and Richard G. Many disciplines from low-level biology through psychology and computer science. Palmer, Addison- Wesley, California, 1991. €�An Introduction to Neural Networks”, Anderson J.A., PHI, 1999. Introduction to the theory of neural computation.