Analog VLSI and neural systems
Analog VLSI and neural systems
An electronic photoreceptor sensitive to small changes in intensity
Advances in neural information processing systems 1
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
Translinear circuits using subthreshold floating-gate MOS transistors
Analog Integrated Circuits and Signal Processing - Special issue: translinear circuits
A Modular Multi-Chip Neuromorphic Architecture for Real-Time Visual Motion Processing
Analog Integrated Circuits and Signal Processing
A Robust Analog VLSI Reichardt Motion Sensor
Analog Integrated Circuits and Signal Processing
An Analog VLSI System for Stereoscopic Vision
An Analog VLSI System for Stereoscopic Vision
The Retinomorphic Approach: Pixel-Parallel Adaptive Amplification,Filtering, and Quantization
Analog Integrated Circuits and Signal Processing
Digital Camera System on a Chip
IEEE Micro
Visual Motion Computation in Analog VLSI Using Pulses
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Adaptive Circuits Using pFET Floating-Gate Devices
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
A Throughput-On-Demand Address-Event Transmitter for Neuromorphic Chips
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
A Column-based Processing Array for High-speed Digital Image Processing
ARVLSI '99 Proceedings of the 20th Anniversary Conference on Advanced Research in VLSI
Programmable and Adaptive Analog Filters using Arrays of Floating-Gate Circuits
ARVLSI '01 Proceedings of the 2001 Conference on Advanced Research in VLSI
Efficient precise computation with noisy components: extrapolating from an electronic cochlea to the brain
Towards low-power on-chip auditory processing
EURASIP Journal on Applied Signal Processing
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In neuromorphic modeling of the retina, it would be very nice to have processing capabilities at the focal plane while retaining the density of typical active pixel sensor (APS) imager designs. Unfortunately, these two goals have been mostly incompatible. We introduce our transform imager technology and basic architecture that uses analog floating-gate devices to make it possible to have computational imagers with high pixel densities. This imager approach allows programmable focal-plane processing that can perform retinal and higher-level bioinspired computation. The processing is performed continuously on the image via programmable matrix operations that can operate on the entire image or blocks within the image. The resulting dataflow architecture can directly perform computation of spatial transforms, motion computations, and stereo computations. The core imager performs computations at the pixel plane, but still holds a fill factor greater than 40 percent--comparable to the high fill factors of APS imagers. Each pixel is composed of a photodiode sensor element and a multiplier. We present experimental results from several imager arrays built in 0.5 micrometer process (up to 128 × 128 in an area of 4 millimeter squared).