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A silicon implementation of the fly's optomotor control system.

R R Harrison¹, C Koch

¹Computation and Neural Systems Program, California Institute of Technology, Pasadena 91125, USA.

Neural Computation

|October 14, 2000

Summary

Flies stabilize flight using visual motion. A silicon chip models this optomotor system, enabling real-time control and quantitative comparisons with biological systems.

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Area of Science:

Robotics and Neuroscience
Biologically-inspired engineering

Background:

Insects like flies utilize visual motion information for flight stabilization.
Optomotor responses are crucial for maintaining body orientation during self-rotation.

Purpose of the Study:

To develop a hardware model of the fly's optomotor control system.
To create a low-power, real-time chip for flight stabilization.

Main Methods:

A standard CMOS VLSI process was used to fabricate the hardware model.
The system integrates on-board photoreceptors for direct environmental input.
Closed-loop testing conditions, standard in insect studies, were employed.

Main Results:

A small, low-power silicon chip was successfully developed.
The chip demonstrated real-time generation of motor commands.
The silicon system achieved stable control analogous to biological flies.

Conclusions:

The hardware model provides a viable platform for studying fly flight stabilization.
This chip allows for quantitative comparisons between artificial and biological systems.
The research advances biologically-inspired robotics and control systems.

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