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A silicon implementation of the fly's optomotor control system
1Computation and Neural Systems Program, California Institute of Technology, Pasadena 91125, USA.
Neural Computation
|October 14, 2000
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.