DocumentCode
3223658
Title
The cellular neural network as a retinal camera for visual prosthesis
Author
Werblin, Frank S. ; Jacobs, Adam
Author_Institution
Dept. of Molecular & Cell Biol., California Univ., Berkeley, CA, USA
Volume
4
fYear
1997
fDate
9-12 Jun 1997
Firstpage
2327
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
Keywords
CMOS analogue integrated circuits; cellular neural nets; eye; image sensors; neural chips; prosthetics; visual evoked potentials; CMOS IC; cellular neural network; massively parallel analog processor; optic nerve; retinal camera; visual cortex; visual prosthesis; Cameras; Cellular neural networks; Neural prosthesis; Optical computing; Optical control; Optical devices; Power generation; Prosthetics; Retina; Semiconductor device measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks,1997., International Conference on
Conference_Location
Houston, TX
Print_ISBN
0-7803-4122-8
Type
conf
DOI
10.1109/ICNN.1997.614423
Filename
614423
Link To Document