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Development of SpatioTemporal Receptive Fields for Motion
Annealing in Minimal Free Energy Vector Quantization
Analysis of Electronic Circuits with Evolutionary Strategies
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analysis annealing approach artificial neural network attraction radius autopoiesis backpropagation biological brain Cb2+ cells chaos chaotic attractor classification code vectors codebook cognitive component Computer convergence data set degeneracies dependent difference in firing dimensional distribution dynamics emotional entropy equations error evaluation evolution example Feature Selection feed-forward FIGURE firing rates Gaussian Gaussian unit generalisation hidden layer hidden units hypercycle hyphenation input iterations learning algorithm learning rule linear mapping matrix method minimal modularisation module motoneuron models motoneurons mutation natural cluster nervous system neuromodules neurons node noise nonlinear obtained optimal codebook output parameters patterns perceptron performance phase transition pixels potential problem properties prototypes random receptive fields representation scaling SCRC self-connection self-organization sequence Series signal simulation solution solve space sparsely coded statistical strategy structure task TDNN temporal tion unsupervised learning vector quantization Volterra Volterra Series weight Wiener Cascade zero