Visual Motion Computation in Analog VLSI Using Pulses
Abstract
The real time computation of motion from real images using a single chip with integrated sensors is a hard problem. We present two analog VLSI schemes that use pulse domain neuromorphic circuits to compute motion. Pulses of variable width, rather than graded potentials, represent a natural medium for evaluating temporal relationships. Both algorithms measure speed by timing a moving edge in the image. Our first model is inspired by Reichardt's algorithm in the fiy and yields a non-monotonic response vs. velocity curve. We present data from a chip that implements this model. Our second algorithm yields a monotonic response vs. velocity curve and is currently being translated into silicon.
Additional Information
© 1993 Morgan Kaufmann. Many thanks to Carver Mead for his encouragement, support and use of lab facilities. We acknowledge useful discussions with William Bialek, Nicola Franceschini and Tobias Delbriick. This work was supported by grants from the Office of Naval Research and the California Competitive Technologies Program. Chip fabrication was provided by MOSIS.Attached Files
Published - 625-visual-motion-computation-in-analog-vlsi-using-pulses.pdf
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Additional details
- Eprint ID
- 64071
- Resolver ID
- CaltechAUTHORS:20160128-164726184
- Office of Naval Research (ONR)
- California Competitive Technologies Program
- Created
-
2016-01-29Created from EPrint's datestamp field
- Updated
-
2019-10-03Created from EPrint's last_modified field
- Caltech groups
- Koch Laboratory (KLAB)
- Series Name
- Advances in Neural Information Processing Systems
- Series Volume or Issue Number
- 5