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Topic: John Hopfield


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In the News (Sat 5 Dec 09)

  
  Biographies of Major Contributors to Cognitive Science
A distinguished physicist who is currently professor of chemistry and biology at the California Institute of Technology, Hopfield previously held positions at Bell Laboratories, the University of California at Berkeley, and Princeton.
Hopfield proposed a design for a neural network modeled on a spin glass, a type of physical system in which each atom in a matrix of atoms spins pointing up or down, influencing the spin of its neighbors until the matrix reaches a stable configuration.
In the neural networks, known as Hopfield nets, units influence the activation of their neighbors until a stable configuration is achieved.
mechanism.ucsd.edu /~bill/research/ANAUT.html   (16669 words)

  
 Neural network   (Site not responding. Last check: 2007-10-31)
The Hopfield network is a recurrent neural network in which all connections are symmetric.
Invented by John Hopfield in 1982, this network guarantees that its dynamics will converge.
Invented by Geoff Hinton and Terry Sejnowski in 1985, the Boltzmann machine is important because it is one of the first neural networks to demonstrate learning of latent variables (hidden units).
www.freedownloadsoft.com /info/neural-network.html   (2473 words)

  
 United Communities of Spirit
Brodie, Michael L., John Mylopoulos and Joachim W. Schmidt, eds.
Cluster Analysis, John Wiley & Sons, New York
Hartigan, John A. Clustering Algorithms, John Wiley & Sons, New York
origin.org /ucs/text/biblio.cfm   (1683 words)

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