Advances in Control Networks and Large-scale Parallel Distributed Processing Models, Volume 1
Martin D. Fraser
Ablex Publishing Corporation, 1991 - Computers - 381 pages
This volume is concerned with state-of-the-art developments in modelling control and processing in distributed networks. Contributions from researchers and practitioners in universities, private industry, and government are included.
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The Neuron as a Reprogrammable Computing Element
Synergistic Interactions Among Distinct Populations of Neurons
Competitive Activation Mechanisms in Connectionist Models
9 other sections not shown
activation level activation values agents algorithms arrows associated behavior biological cells cognitive map column competitive activation mechanisms component elements computational configuration connectionist model connections convergence correlation function corresponding database defined described distributed dynamics eigenvalue eigenvectors environment equation equilibrium event example Figure frequency functor Gagliano given grapheme Grossberg Hartline Hebb rule Hopfield IEEE implemented inhibitory initial input vector interaction iteration joint kinematic network layer matrix mental models MIRRORS/II muscle natural transformation neural network neurons nodes operations orientation selectivity output parallel parameters path path space pattern phoneme phoneme nodes pool population position processor pseudoinverse receptive fields Reggia relation represent representation Rumelhart schema second messenger sequence sequential ShR nodes simulation spatial specification stable stiffness structure subset supervised learning synapses synaptic tion transformation Transputer update velocity visual visual cortex voting group weight