Retinomorphic vision systems

@article{Boahen1996RetinomorphicVS,
  title={Retinomorphic vision systems},
  author={Kwabena A. Boahen},
  journal={Proceedings of Fifth International Conference on Microelectronics for Neural Networks},
  year={1996},
  pages={2-14}
}
  • K. Boahen
  • Published 12 February 1996
  • Computer Science
  • Proceedings of Fifth International Conference on Microelectronics for Neural Networks
The new generation of silicon retinae has two defining characteristics. First, these synthetic retinae are morphologically equivalent to their biological counterparts-at an appropriate level of abstraction. Second, they accomplish all four major operations performed by biological retinae using neurobiological principles: (1) continuous sensing for detection, (2) local automatic gain control for amplification, (3) spatiotemporal bandpass filtering for preprocessing, and (4) adaptive sampling for… 
Retinomorphic Vision Systems I: Pixel Design 1. System Concept 2. Retinomorphic Pixel Design
I present and analyze test results from circuits that perform all four major operations performed by biological reti-nae using neurobiological principles: (1) continuous sensing for detection, (2)
Retinomorphic Vision Systems I: Pixel Design
  • K. Boahen
  • Computer Science
    1996 IEEE International Symposium on Circuits and Systems. Circuits and Systems Connecting the World. ISCAS 96
  • 1996
TLDR
Test results from circuits that perform all four major operations performed by biological retinae using neurobiological principles are presented, to eliminate redundancy, to reduce power dissipation, and to make efficient use of the capacity of the output channel.
The Retinomorphic Approach: Pixel-Parallel Adaptive Amplification, Filtering, and Quantization
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
Retinomorphic chips that see quadruple images
  • K. Boahen
  • Engineering
    Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
  • 1999
Retinomorphic chips may improve their spike-coding efficiency by emulating the primate retina's parallel pathways. To this end, I recreated retinal microcircuits in a chip, Visio1, that models the
A Retinomorphic Chip with Parallel Pathways: Encoding
TLDR
A multichip 2-D motion system is presented, which implements Watson and Ahumada’s model of human visual-motion sensing, and includes novel subthreshold current-mode circuits that model horizontal-cell autofeedback and model amacrine-cell loop-gain modulation, to adapt temporal filtering to motion.
Modeling Visual Perception for Image Processing
TLDR
A model of the retina with its properties with respect to sampling, spatiotemporal filtering, color-coding and non-linearity, and their consequences on the processing of visual information is presented.
Frequency Analysis of a 64x64 Pixel Retinomorphic System with AER Output to Estimate the Limits to Apply onto Specific Mechanical Environment
TLDR
An exhaustive timing analysis of the Address-Event-Representation (AER) output of a 64x64 pixels silicon retinomorphic system and finds the upper spin limit to be approximately 6000rpm and in some cases with high light contrast lost events do not exist.
HARDWARE IMPLEMENTATION OF A RETINAL MODEL
TLDR
This work presents the simulation and hardware implementation of a retinal model, to understand and analyze the signal processing performed by the retinal neural cells and to achieve an optimum methodology for the analysis, development and verification of biological models.
The Retinomorphic Approach: Pixel-parallel Adaptive Ampliication, Filtering, and Quantization Adaptive Sampling Location Labeling Digital Bus Address Decoding Cortical Processing Retinomorphic Chip Interchip Communication Neuromorphic Chip Supply 5v Dissipation 0.2 Msss 230 Mw Total Throughput 2 Mss
I describe a vision system that uses neurobiological principles to perform all four major operations found in biological retinae: (1) continuous sensing for detection, (2) local automatic gain
A Retinomorphic Chip with Parallel Pathways: Encoding INCREASING, ON, DECREASING, and OFF Visual Signals
TLDR
A multichip 2-D motion system is presented, which implements Watson and Ahumada's model of human visual-motion sensing, and includes novel subthreshold current-mode circuits that model horizontal-cell autofeedback and model amacrine-cell loop-gain modulation, to adapt temporal filtering to motion.
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