Access the full text.
Sign up today, get DeepDyve free for 14 days.
A. Moini (1999)
Vision Chips
K. Boahen (1998)
Communicating neuronal ensembles between neuromorphic chips
K. Boahen (1999)
A throughput-on-demand address-event transmitter for neuromorphic chipsProceedings 20th Anniversary Conference on Advanced Research in VLSI
M. Mazza, Ph. Renaud, Daniel Bertrand, Adrian Ionescu (2003)
CMOS pixels for subretinal implantable prothesisIEEE Sensors Journal, 5
(2000)
Sensor computing
Gretchen Stevens, Richard White, S. Flaxman, Holly Price, J. Jonas, J. Keeffe, J. Leasher, K. Naidoo, K. Pesudovs, S. Resnikoff, H. Taylor, R. Bourne (2013)
Global prevalence of vision impairment and blindness: magnitude and temporal trends, 1990-2010.Ophthalmology, 120 12
C. Mead, M. Mahowald (1993)
A silicon model of early visual processingNeural Networks, 1
J. Lazzaro, J. Wawrzynek (1995)
A multi-sender asynchronous extension to the AER protocolProceedings Sixteenth Conference on Advanced Research in VLSI
K. Boahen (1999)
A throughput-on-demand address-event transmitter for neuromorphic chipsProc. ARVLSI’, 99
Y. Heo, Hanjung Song (2012)
Circuit modeling and implementation of a biological neuron using a negative resistor for neuron chipBioChip Journal, 6
W. Yang (1994)
A wide-dynamic-range, low-power photosensor arrayProceedings of IEEE International Solid-State Circuits Conference - ISSCC '94
M. Mazza (2005)
10.1109/JSEN.2004.839895IEEE sensors, 5
R. Etienne-Cummings, J. Spiegel, P. Mueller, Mao-zhu Zhang (2000)
A foveated silicon retina for two-dimensional trackingIEEE Transactions on Circuits and Systems Ii: Analog and Digital Signal Processing, 47
X. Arreguit, A. Schaik, Franqois Bauduin, Marc Bidiville, E. Raeber (1996)
A CMOS motion detector system for pointing devices1996 IEEE International Solid-State Circuits Conference. Digest of TEchnical Papers, ISSCC
I. Gleadall, K. Ohtsu, Etsuko Gleadall, Y. Tsukahara (1993)
SCREENING-PIGMENT MIGRATION IN THE OCTOPUS RETINA INCLUDES CONTROL BY DOPAMINERGIC EFFERENTSThe Journal of Experimental Biology, 185
A. Mortara, E. Vittoz (1994)
A communication architecture tailored for analog VLSI artificial neural networks: intrinsic performance and limitationsIEEE transactions on neural networks, 5 3
Charles Mitchell, W. Friesen (1981)
A neuromime system for neural circuit analysisBiological Cybernetics, 40
B. Wandell (1995)
Foundations of vision
D. Pascolini, S. Mariotti (2011)
Global estimates of visual impairment: 2010British Journal of Ophthalmology, 96
E. Culurciello, R. Etienne-Cummings, K. Boahen (2003)
A biomorphic digital image sensorIEEE J. Solid State Circuits, 38
I.G. Gleadall (1993)
10.1242/jeb.185.1.1J. Exp. Biol, 185
D. Hubel (1988)
Eye, brain, and vision
E. Mah, R. Brinkworth, D. O’Carroll (2008)
Implementation of an elaborated neuromorphic model of a biological photoreceptorBiological Cybernetics, 98
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.
BioChip Journal – Springer Journals
Published: Dec 1, 2017
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.