Introduction To The Theory Of Neural Computation, Volume I. Anders S. Krogh, John A. Hertz, Richard G. Palmer
ISBN: 9780201515602 | 328 pages | 9 Mb
Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer
Publisher: Westview Press
This course provides an introduction to the theory of neural computation. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. 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. Amazon.com: Understanding Neural Networks eBook: John Iovine. Palmer, Introduction to the Theory of Neural Computation (Addison-. Introduction to the theory of neural computation.  Hertz, J., Krogh, A., Palmer, R. Palmer, “Introduction to the Theory of Neural Computation.” Reading, MA: Addison-Wesley, 1991. This book comprehensively discusses the neural network models from a statistical mechanics perspective. Amazon.com: Neural Networks: Books 21 new from $129.99.. Addison-Wesley, Redwood City, CA. Nunez, Neocortical Dynamics and Human EEG Rhythms (Oxford University Press, New York,. A clear exposition of the theoretical aspects of neural computation. 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. Many disciplines from low-level biology through psychology and computer science. Wesley, Redwood City, CA, 1991). No specific background other than mathematics (multi-variate calculus, differential equations, and linear algebra) is assumed.