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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

No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. Free download ebook Introduction to the Theory of Neural Computation (Santa Fe Institute Studies in the Sciences of Complexity) pdf. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. A clear exposition of the theoretical aspects of neural computation. This course provides an introduction to the theory of neural computation. Introduction to the theory of neural computation. 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 thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. 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. Introduction to the Theory of Neural Computation. Addison-Wesley, Redwood City, CA. [7] Hertz, J., Krogh, A., Palmer, R. Many disciplines from low-level biology through psychology and computer science.