A primary task of the retina is to frequency encode light absorption into action potentials. Using simulated artificial neural networks (SANN), the direction selective component of these electrical signals was replicated. The SANN was constructed to mimic the retinal architecture and was trained using published extracellular recordings from ganglion cells. Analysis of the trained model supported the hypothesis that Direction Selectivity arises from asymmetric connections among retinal cells. This project contributes to development of a biology-inspired artificial vision solution.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Urban, Jillian O'Toole
• Troccolo, Paul Michael
• Norige, Adam Stuart

Publisher

• Worcester Polytechnic Institute

Identifier

• 03D082M

Advisor

• Ryder, Elizabeth F.
• Shonat, Ross D.

Year

• 2003

Date created

• 2003-01-01

Resource type

• Major Qualifying Project

Major

• Biomedical Engineering
• Biology & Biotechnology

Rights statement

• In Copyright

License

• All rights reserved