Pulsed Neural Networks Neil E. Cotter Type notes here ECE Department University of Utah
Overview Type notes here
Challenging Problems Type notes here
Challenging Problems Image recognition in varied settings Speech recognition in noise Robotic control and navigation Type notes here
Artificial Neural Networks Type notes here
Biological Neuron Type notes here
Biological Neuron Type notes here
Perceptron Type notes here
Perceptron Response Type notes here
Linear Separability Type notes here
Linear Separability Type notes here
Logic Gates Type notes here
Parallel Processing Type notes here
Sigmoid Neuron Type notes here
Sigmoid Neuron Response Type notes here
Neural Network Type notes here
Neural Network Type notes here
Universal Approximation Type notes here
Universal Approximation Type notes here
Universal Approximation Type notes here
Function Approximations Type notes here
Learning Type notes here
Gradient Descent Type notes here
Local Minima Type notes here
Backward-Error Propagation Type notes here
Dynamic Networks Type notes here
Dynamic Networks Type notes here
Learning through Time Type notes here
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
Pulsed Networks Type notes here
Pulsed Neuron Type notes here
Pattern Processing Type notes here
Response Regions Type notes here
Pattern Windows Type notes here
Pattern Windows Type notes here
Dynamic Pulsed Networks Type notes here
Applications Type notes here
Speech Recognition Type notes here
Auditory System Type notes here
Research Opportunities Mathematically describe pattern processing Devise pattern-learning algorithms Build circuits Type notes here
Title Type notes here