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
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;
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
DOI :
10.1109/ICNN.1997.614423
