1. Pulsed Neural Networks Neil E. Cotter ECE Department University of Utah

2. Overview

3. Challenging Problems

4. Image recognition in varied settings Speech recognition in noise Robotic control and navigation

5. Artificial Neural Networks

6. Biological Neuron

8. Perceptron

9. Perceptron Response

10. Linear Separability

12. Logic Gates

13. Parallel Processing

14. Sigmoid Neuron

15. Sigmoid Neuron Response

16. Neural Network

18. Universal Approximation

21. Function Approximations

22. Learning

23. Gradient Descent

24. Local Minima

25. Backward-Error Propagation

26. Dynamic Networks

28. Learning through Time

29.  ±F  x x  State 0 or 1 x1x1 x 16 w1w1 w 16 noise y v1v1 v 16 noise delay reward = ±1 p  decay r ^  Adaptive Critic Associative Search

30. Pulsed Networks

31. Pulsed Neuron

32. Pattern Processing

33. Response Regions

34. Pattern Windows

36. Dynamic Pulsed Networks

37. Applications

38. Speech Recognition

39. Auditory System

40. Research Opportunities Mathematically describe pattern processing Devise pattern-learning algorithms Build circuits

41. Title