Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer
Publisher: Westview Press
[7] Hertz, J., Krogh, A., Palmer, R. 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. Hertz - Google Books The first chapters give a general introduction to the. �An Introduction to Neural Networks”, Anderson J.A., PHI, 1999. Introduction to the Theory of Neural Computation - John A. Introduction to the theory of neural computation. 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. Based on event-driven computation, SpikeNet have reported successfully tracking and recognizing faces in real time without increasing computation burden. (1987), Spin glass theory and beyond. Westview Press: Introduction To the Theory of Neural Computation, Volume I by John A. ★ Buy Book Introduction To The Theory Of Neural Computation. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. A clear exposition of the theoretical aspects of neural computation. Palmer, Addison- Wesley, California, 1991. Books: Introduction To The Theory Of Neural Computation, Volume I. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. Addison-Wesley, Redwood City, CA. This book comprehensively discusses the neural network models from a statistical mechanics perspective. No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed. �Introduction to the Theory of Neural Computation”, Hertz J. Download An Introduction to the Theory of Point Processes, Volume II - Free chm, pdf ebooks rapidshare download, ebook torrents bittorrent download.