Neurodynamic model for multi-stability in action perception
Research Area:Neural and Computational Principles of Action and Social Processing
Researchers:Martin A. Giese; Leonid Fedorov
The perception of body movements integrates information over time. The underlying neural system is nonlinear and is charactrized by a dynamics that supports multi-stable perception. We have investigated multisstable body motion perception and have developed physiologically-inspired neural models that account for the observed psychophysical results.
Biological motion perception is influenced by shading cues. We study the influence of such cues and develop neural models how the shading cues are integrated with other features in action perception.