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

Many disciplines from low-level biology through psychology and computer science. 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. €�Introduction to the Theory of Neural Computation”, Hertz J. This book comprehensively discusses the neural network models from a statistical mechanics perspective. Hertz JA, Krogh AS, Palmer RG (1991) Introduction To The Theory Of Neural Computation, Volume I. Palmer, “Introduction to the Theory of Neural Computation.” Reading, MA: Addison-Wesley, 1991. This course provides an introduction to the theory of neural computation. Palmer, Addison- Wesley, California, 1991. This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. Introduction to the Theory of Neural Computation - John A. This thesis focusses on real-time computation of large neural networks using the Izhikevich spiking neuron model. Addison-Wesley, Redwood City, CA. (1987), Spin glass theory and beyond. €�An Introduction to Neural Networks”, Anderson J.A., PHI, 1999. Hertz - Google Books The first chapters give a general introduction to the. [7] Hertz, J., Krogh, A., Palmer, R. Introduction to the theory of neural computation. Axons and dendrites can be modelled using cable theory (Rall, 1959), while synapse. Based on event-driven computation, SpikeNet have reported successfully tracking and recognizing faces in real time without increasing computation burden.