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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

Hertz - Google Books The first chapters give a general introduction to the. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. Amazon.com: Understanding Neural Networks eBook: John Iovine. Ã�ディア:ペーパーバック販売元:Westview Press ＜言語＞ 1. Many disciplines from low-level biology through psychology and computer science. Introduction to the theory of neural computation. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. [7] Hertz, J., Krogh, A., Palmer, R. 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. Amazon.com: Neural Networks: Books 21 new from $129.99.. (1987), Spin glass theory and beyond. Introduction to the Theory of Neural Computation - John A. Books: Introduction To The Theory Of Neural Computation, Volume I. This course provides an introduction to the theory of neural computation. A clear exposition of the theoretical aspects of neural computation. Addison-Wesley, Redwood City, CA. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed.