Introduction To The Theory Of Neural Computation, Volume I Anders S. Krogh, John A. Hertz, Richard G. Palmer
Publisher: Westview Press

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