Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Voltage regulation of retina neuron model with dynamic feedback for biological acquisition image

Voltage regulation of retina neuron model with dynamic feedback for biological acquisition image Abstract The investigation on biological activated imagers using standard CMOS processes has become continuous trend where silicon retina with central-plane image processing, small pixel sizes, large dynamic range and relatively low power consumption are required. This work proposes a voltage regulation of retina neuron model with dynamic feedback approach for biological acquisition image. The implementation of retina neuron circuit consists of conventional current-feedback event generator with the extension of proposed current mirror and dynamic feedback stage. The proposed neuron circuit achieves extremely high dynamic voltage range with respect to light intensity which help to detect biological acquisition image and could be beneficial for retinal prostheses. Moreover, individually modelling of photodiode using Verilog-A and device model is proposed for activation of current-feedback event generator. This modeling of photodiode permits to simple, compact and linear solution for pixel implementation. The proposed voltage controlled retina neuron circuit is implemented and fabricated using 0.18 μm Magnachip CMOS process. The spikes of output voltage are varied according to the inputs taken as control voltage and light intensity. As per the observation, read-out spikes of output voltage pulses provide more brightness level in the image pixels. The fabrication of proposed neuron circuit achieves less power consumption in nano-joule under dc supply of 3.3 V. The experimental result of output voltage is made good correlation with simulated one. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png BioChip Journal Springer Journals

Voltage regulation of retina neuron model with dynamic feedback for biological acquisition image

Loading next page...
 
/lp/springer-journals/voltage-regulation-of-retina-neuron-model-with-dynamic-feedback-for-E8EYbSm0y4

References (23)

Publisher
Springer Journals
Copyright
2017 The Korean BioChip Society and Springer-Verlag GmbH Germany
ISSN
1976-0280
eISSN
2092-7843
DOI
10.1007/s13206-017-1406-6
Publisher site
See Article on Publisher Site

Abstract

Abstract The investigation on biological activated imagers using standard CMOS processes has become continuous trend where silicon retina with central-plane image processing, small pixel sizes, large dynamic range and relatively low power consumption are required. This work proposes a voltage regulation of retina neuron model with dynamic feedback approach for biological acquisition image. The implementation of retina neuron circuit consists of conventional current-feedback event generator with the extension of proposed current mirror and dynamic feedback stage. The proposed neuron circuit achieves extremely high dynamic voltage range with respect to light intensity which help to detect biological acquisition image and could be beneficial for retinal prostheses. Moreover, individually modelling of photodiode using Verilog-A and device model is proposed for activation of current-feedback event generator. This modeling of photodiode permits to simple, compact and linear solution for pixel implementation. The proposed voltage controlled retina neuron circuit is implemented and fabricated using 0.18 μm Magnachip CMOS process. The spikes of output voltage are varied according to the inputs taken as control voltage and light intensity. As per the observation, read-out spikes of output voltage pulses provide more brightness level in the image pixels. The fabrication of proposed neuron circuit achieves less power consumption in nano-joule under dc supply of 3.3 V. The experimental result of output voltage is made good correlation with simulated one.

Journal

BioChip JournalSpringer Journals

Published: Dec 1, 2017

There are no references for this article.