The cellular neural network as a retinal camera for visual prosthesis

Frank S. Werblin, Adam Jacobs, Tamas Roska

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A retinal camera-on-a-chip is proposed. The chip is used for two purposes: 1) it provides a computationally powerful camera to drive a visual prosthetic; and 2) it serves as a "hypothesis generator" for proving the patterns of activity that must be generated by the camera. The design of the chip is based on cellular neural network technology, a massively parallel analog processor of enormous power. The patterns are based upon physiological studies of the massively parallel output patterns measured in living retinas. The device is capable of generating a series of simultaneous retina-like output patterns that can be introduced either at the optic nerve or visual cortex as an interactive visual prosthetic camera, controlled by both the user and the visual environment.

Original languageEnglish
Title of host publication1997 IEEE International Conference on Neural Networks, ICNN 1997
Pages2327-2332
Number of pages6
DOIs
Publication statusPublished - Dec 1 1997
Event1997 IEEE International Conference on Neural Networks, ICNN 1997 - Houston, TX, United States
Duration: Jun 9 1997Jun 12 1997

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
Volume4
ISSN (Print)1098-7576

Other

Other1997 IEEE International Conference on Neural Networks, ICNN 1997
CountryUnited States
CityHouston, TX
Period6/9/976/12/97

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ASJC Scopus subject areas

  • Software

Cite this

Werblin, F. S., Jacobs, A., & Roska, T. (1997). The cellular neural network as a retinal camera for visual prosthesis. In 1997 IEEE International Conference on Neural Networks, ICNN 1997 (pp. 2327-2332). [614423] (IEEE International Conference on Neural Networks - Conference Proceedings; Vol. 4). https://doi.org/10.1109/ICNN.1997.614423