Bugs: a real-time adaptive network that responds to motion

Summary form only given, as follows. Bugs is an artificial neural system which detects motion in an external environment and can be trained by a teacher to react according to a desired strategy. System elements are a hard-wired motion detection network and an adaptive controller network. The motion detection net is based on a model of motion-sensitive ganglia found in rabbit eyes, while the controller learns strategies from a teacher in the form of finite-state transitions. Bugs´s subnetworks are integrated by continuous-time dynamics, and elements are synchronized through simple time-scaling parameters. The author reports two experiments in which Bugs learned quite different responses to moving objects.<>