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Pulsed Neural Networks
Neil E. Cotter Type notes here ECE Department University of Utah
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Overview Type notes here
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Challenging Problems Type notes here
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Challenging Problems Image recognition in varied settings
Speech recognition in noise Robotic control and navigation Type notes here
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Artificial Neural Networks
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Biological Neuron Type notes here
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Biological Neuron Type notes here
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Perceptron Type notes here
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Perceptron Response Type notes here
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Linear Separability Type notes here
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Linear Separability Type notes here
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Logic Gates Type notes here
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Parallel Processing Type notes here
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Sigmoid Neuron Type notes here
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Sigmoid Neuron Response
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Neural Network Type notes here
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Neural Network Type notes here
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Universal Approximation
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Universal Approximation
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Universal Approximation
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Function Approximations
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Learning Type notes here
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Gradient Descent Type notes here
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Local Minima Type notes here
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Backward-Error Propagation
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Dynamic Networks Type notes here
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Dynamic Networks Type notes here
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Learning through Time Type notes here
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Learning through Time State v1 Adaptive Critic x1 p v16 ^ r w1
0 or 1 noise x1 p delay v16 l reward = ±1 decay r ^ a b w1 Associative Search noise q y x16 w16 Type notes here x x q q ±F
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Pulsed Networks Type notes here
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Pulsed Neuron Type notes here
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Pattern Processing Type notes here
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Response Regions Type notes here
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Pattern Windows Type notes here
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Pattern Windows Type notes here
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Dynamic Pulsed Networks
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Applications Type notes here
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Speech Recognition Type notes here
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Auditory System Type notes here
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Research Opportunities
Mathematically describe pattern processing Devise pattern-learning algorithms Build circuits Type notes here
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Title Type notes here
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