Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems
Abstract
This article describes a. neural pattern generator based on a cooperative-competitive feedback neural network. The two-channel version of the generator supports both in-phase and anti-phase oscillations. A scalar arousal level controls both the oscillation phase and frequency. As arousal increases, oscillation frequency increases and bifurcations from in-phase to anti-phase, or anti-phase to in-phase oscillations can occur. Coupled versions of the model exhibit oscillatory patterns which correspond to the gaits used in locomotion and other oscillatory movements by various animals.Air Force Office of Scientific Research (90-0128, 90-0175); National Science Foundation (IRI-90-24877); Army Research Office (DAAL03-88-k-0088
