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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
Page: 328
Publisher: Westview Press
Format: djvu

Many disciplines from low-level biology through psychology and computer science. Amazon.com: Neural Networks: Books 21 new from $129.99.. Pattern Recognition and Statistical Learning: Neural Networks: Machine Learning and Information Theory: Image Processing: Signal Processing: Books of Historical Interest . Palmer, Introduction to the Theory of Neural Computation (Addison-. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. Books: Introduction To The Theory Of Neural Computation, Volume I. Nunez, Neocortical Dynamics and Human EEG Rhythms (Oxford University Press, New York,. Amazon.com: Understanding Neural Networks eBook: John Iovine. This course provides an introduction to the theory of neural computation. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. 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. Gaito, Algorithmic Inference in Machine Learning, International Series on Advanced Intelligence, Vol. Wesley, Redwood City, CA, 1991).