Authors:
Leonid Fedorov
1
;
Joris Vangeneugden
2
and
Martin Giese
1
Affiliations:
1
University of Tuebingen and IMPRS for Cognitive and Systems Neuroscience, Germany
;
2
School of Mental Health & Neuroscience, Netherlands
Keyword(s):
Action Recognition, Multistable Perception, Biological Motion, Neural Fields, Shading.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Computational Neuroscience
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neural Computation Issues in Social Behaviour Emergence
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Stability and Instability in Artificial Neural Networks
;
Theory and Methods
Abstract:
Body motion perception from impoverished stimuli shows interesting dynamic properties, such as multistability
and spontaneous perceptual switching. Psychophysical experiments show that such multistability disappears
when the stimulus includes also shading cues along the body surface. Classical neural models for
body motion perception have not addressed perceptual multistability. We present an extension of a classical
neurodynamic model for biological and body motion perception that accounts for perceptual switching, and
its dependence on shading cues on the body surface. We demonstrate that a set of psychophysical observations
can be accounted for in a unifying manner by a hierarchical neural model for body motion processing
that includes an additional shading pathway, which processes luminance gradients within the individual body
segments. The goal of our model is to explain psychophysics and neural mechanism in the brain.