Frequency analysis of a 64×64 pixel retinomorphic system with AER output to estimate the limits to apply onto specific mechanical environment

Authors:
Fernando Perez-Peña;Arturo Morgado-Estevez;Alejandro Linares-Barranco;Gabriel Jimenez-Moreno;Jose Maria Rodriguez-Corral;Rafael J. Montero-Gonzalez
Affiliations:
Applied Robotics Research Lab, University of Cadiz, Cadiz, Spain;Applied Robotics Research Lab, University of Cadiz, Cadiz, Spain;Robotic and Technology of Computers Lab, University of Seville, Seville, Spain;Robotic and Technology of Computers Lab, University of Seville, Seville, Spain;Applied Robotics Research Lab, University of Cadiz, Cadiz, Spain;Applied Robotics Research Lab, University of Cadiz, Cadiz, Spain
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Year:
2011

Citing 3
Cited 0

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Wiring considerations in analog VLSI systems, with application to field-programmable networks
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Abstract

The rods and cones of a human retina are constantly sensing and transmitting the light in the form of spikes to the cortex of the brain in order to reproduce an image in the brain. Delbruck's lab has designed and manufactured several generations of spike based image sensors that mimic the human retina. In this paper we present an exhaustive timing analysis of the Address-Event-Representation (AER) output of a 64x64 pixels silicon retinomorphic system. Two different scenarios are presented in order to achieve the maximum frequency of light changes for a pixel sensor and the maximum frequency of requested directions on the output AER. Results obtained are 100 Hz and 1.66 MHz in each case respectively. We have tested the upper spin limit and found it to be approximately 6000rpm (revolutions per minute) and in some cases with high light contrast lost events do not exist.