Oral Comprehensive Exam Details
Quantitative Analysis of Neural Networks with Applications to Biological Modeling
| Author: | Nathan Dunn |
|---|---|
| Date: | August 11, 2004 |
| Time: | 11:00 |
| Location: | 220 Deschutes |
| Committee: | John Conery (Chair) Art Farley Shawn Lockery Biology Michal Young |
Abstract
As exploration into biological systems has advanced, so have the models which attempt to explain their function. This is especially true of artificial neural networks, which model functions from simple locomotion in soil-dwelling nematodes to visual recognition and synthesis in higher-order animals. This talk briefly explores the biological foundations behind neural networks and then surveys the area of neural network analysis, with emphasis on recurrent neural networks.