A Silicon Implementation of the Fly's Optomotor Control System
Abstract
Flies are capable of stabilizing their body during free flight by using visual motion information to estimate self-rotation. We have built a hardware model of this optomotor control system in a standard CMOS VLSI process. The result is a small, low-power chip that receives input directly from the real world through on-board photoreceptors and generates motor commands in real time. The chip was tested under closed-loop conditions typically used for insect studies. The silicon system exhibited stable control sufficiently analogous to the biological system to allow for quantitative comparisons.
Cite
Text
Harrison and Koch. "A Silicon Implementation of the Fly's Optomotor Control System." Neural Computation, 2000. doi:10.1162/089976600300014944Markdown
[Harrison and Koch. "A Silicon Implementation of the Fly's Optomotor Control System." Neural Computation, 2000.](https://mlanthology.org/neco/2000/harrison2000neco-silicon/) doi:10.1162/089976600300014944BibTeX
@article{harrison2000neco-silicon,
title = {{A Silicon Implementation of the Fly's Optomotor Control System}},
author = {Harrison, Reid R. and Koch, Christof},
journal = {Neural Computation},
year = {2000},
pages = {2291-2304},
doi = {10.1162/089976600300014944},
volume = {12},
url = {https://mlanthology.org/neco/2000/harrison2000neco-silicon/}
}