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Introduction To The Theory Of Neural Computation, Volume I by Anders S. Krogh, John A. Hertz, Richard G. Palmer

Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer ebook
ISBN: 0201515601, 9780201515602
Publisher: Westview Press
Format: djvu
Page: 328

John Hertz, Anders Krogh, and Richard G. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. Many disciplines from low-level biology through psychology and computer science. 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. Palmer, Introduction to the Theory of Neural Computation, Addison Wesley Publ. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. Hertz J, Krogh A, Palmer RG (1991) Introduction to the theory of neural computation (Addison- Wesley). Whether these two types of robustness emerge under natural selection have long been debated in the context of developmental dynamics and evolution theory[3], [5], [17], [18], [19], [20], since the proposition of stabilization selection by Schmalhausen[21] and .. Pattern Recognition and Statistical Learning: Neural Networks: Machine Learning and Information Theory: Image Processing: Signal Processing: Books of Historical Interest . There exist many small peaks corresponding to attractors with −k