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



Introduction To The Theory Of Neural Computation, Volume I ebook download




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


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. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. Journal of Experimental Psychology: Learning, Memory, and Cognition, Vol 34(5), Sep 2008, 1111-1122. Taskar (Eds.), Introduction to statistical relational learning (pp. 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. Barnden (Eds.), Advances in connectionist and neural computation theory: Vol. Introduction to the Theory of Neural Computation. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. Lee, Hee Seung; Holyoak, Keith J. Many disciplines from low-level biology through psychology and computer science.