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  Neural Model for the Influence of Shading on the Multistability of the Perception of Body Motion

Fedorov, L., Vangeneugden, J., & Giese, M. (2016). Neural Model for the Influence of Shading on the Multistability of the Perception of Body Motion. In J. Merelo Guervós (Ed.), 8th International Joint Conference on Computational Intelligence: Volume 2: NCTA (pp. 69-76). Setúbal, Portugal: SciTePress.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-903A-6 Version Permalink: http://hdl.handle.net/21.11116/0000-0006-903B-5
Genre: Conference Paper

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 Creators:
Fedorov, L1, Author              
Vangeneugden, J, Author
Giese, M, Author              
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1External Organizations, ou_persistent22              

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 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.

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 Dates: 2016-11
 Publication Status: Published in print
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Title: 8th International Joint Conference on Computational Intelligence (IJCCI 2016)
Place of Event: Porto, Portugal
Start-/End Date: 2016-11-09 - 2016-11-11

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Title: 8th International Joint Conference on Computational Intelligence: Volume 2: NCTA
Source Genre: Proceedings
 Creator(s):
Merelo Guervós, JJ, Editor
Affiliations:
-
Publ. Info: Setúbal, Portugal : SciTePress
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 69 - 76 Identifier: ISBN: 978-989-758-201-1