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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
Page: 328
ISBN: 0201515601, 9780201515602
Format: djvu
Publisher: Westview Press

Taskar (Eds.), Introduction to statistical relational learning (pp. Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol 34(5), Sep 2008, 1111-1122. Barnden (Eds.), Advances in connectionist and neural computation theory: Vol. Many disciplines from low-level biology through psychology and computer science. Lee, Hee Seung; Holyoak, Keith J. Amazon.com: Neural Networks: Books 21 new from $129.99.. 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. Books: Introduction To The Theory Of Neural Computation, Volume I. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. 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.