Abstract

information in locomotor control was explored. First, the recovery of heading from RF was examined when ER information was manipulated; results confirmed that ER signals affect heading judgments. Then the task was translated to steering curved paths and the availability and veracity of VD was manipulated with either degraded or systematically biased RF. Large steering errors resulted from selective manipulation of RF and VD, providing strong evidence for the combination of RF, ER, and VD. The relative weighting applied to RF and VD was estimated. A point-attractor model is proposed that combines redundant sources of information for robust locomotor control with flexible trajectory planning through active gaze. We routinely locomote through the world and reach our goals successfully despite course changes and variable eye or body positions. This requires a highly efficient system for processing visual information to pick a path, maintain a course, and arrive at our desired destination. Solutions to these problems have centered on the

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