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Neural Computation Volume 3 Number
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1991 Massachusetts Institute ABS rule activity adaptive adaptive filtering algorithm amplitude approximation architecture attractors backpropagation basis functions Bayesian probabilities behavior binocular rivalry cells Christof Koch coherence complex connectionist connections context vector convergence correlation correlation dimension corresponding cortical cost function coupling cross-correlation delay desynchronizing distribution dynamic equation error error function example excitatory feature feedforward frequency gaussian graphs Hamming distance Hebbian hidden layer hidden units Hinton Hopfield inhibitory input Institute of Technology interaural Konig learning algorithm learning rate learning rule LMS algorithm Malsburg matching memory msec Neural Computation neural networks neurons Neurosci noise nonlinear optimal oscillators output neurons pacemaker Parallel Distributed Processing parameters patterns performance phase problem processing pyramidal cells quadratic assignment problem receptive fields represent representation role Rumelhart Schillen segments sequence signal simulation spatial stimulus synaptic synchronization temporal Theorem threshold tion Touretzky training cycles training set variables weight matrix Willshaw zero