A mathematical model for a neural control system of ant locomotion was developed. Contrast-based detectors using excitation and inhibition were tuned to specific contrast orientations. A control system using multiple orientation contrast detectors was then developed and optimized for a model ant, which could move via a biased random walk. The system allowed sufficient control to guide the ant through various mazes.

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Copyright © 2003 Mathematical Biosciences Institute. This article first appeared in Mathematical Biosciences Institute Technical Report 5 (2003), 1-11.

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