Analog VLSI and neural systems
Analog VLSI and neural systems
What does the retina know about natural scenes?
Neural Computation
An adressable 256 X 256 photodiode image sensor array with an 8-bit digital output
Analog Integrated Circuits and Signal Processing - Special section on sensors and sensor signal conditioning circuits
Scaling of MOS technology to submicrometer feature sizes
Journal of VLSI Signal Processing Systems - Joint special issue on Analog VLSI computation; also see Analog Integrated Circuits Signal Process., Vol. 6, No. 1
Fine analog coding minimizes information transmission
Neural Networks
Translinear circuits in subthreshold MOS
Analog Integrated Circuits and Signal Processing - Special issue: translinear circuits
IEEE Micro
Standard CMOS active pixel image sensors for multimedia applications
ARVLSI '95 Proceedings of the 16th Conference on Advanced Research in VLSI (ARVLSI'95)
MICRONEURO '96 Proceedings of the 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems
A Mathematical Theory of Communication
A Mathematical Theory of Communication
Analog VLSI-based modeling of the primate oculomotor system
Neural Computation
Analog Integrated Circuits and Signal Processing
Modeling short-term synaptic depression in Silicon
Neural Computation
A Throughput-On-Demand Address-Event Transmitter for Neuromorphic Chips
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
Retinomorphic Chips that see Quadrupple Images
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Active pixel sensor design: from pixels to systems
CMOS imagers
Analog VLSI circuits for short-term dynamic synapses
EURASIP Journal on Applied Signal Processing
High fill-factor imagers for neuromorphic processing enabled by floating-gate circuits
EURASIP Journal on Applied Signal Processing
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I describe a vision system that uses neurobiologicalprinciples to perform all four major operations found in biologicalretinae: (1) continuous sensing for detection, (2) local automaticgain control for amplification, (3) spatiotemporal bandpass filteringfor preprocessing, and (4) adaptive sampling for quantization.All four operations are performed at the pixel level. The systemincludes a random-access time-division multiplexed communicationchannel that reads out asynchronous pulse trains from a 64×64 pixel array in the imager chip, and transmitsthem to corresponding locations on a second chip that has a 64×64 array of integrators. Both chips are fully functional.I compare and contrast the design principles of the retina withthe standard practice in imager design and analyze the circuitsused to amplify, filter, and quantize the visual signal, withemphasis on the performance trade-offs inherent in the circuittopologies used.