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  Neural model of biological motion recognition based on shading cues

Fedorov, L., & Giese, M. (2015). Neural model of biological motion recognition based on shading cues. Poster presented at Twenty-Fourth Annual Computational Neuroscience Meeting (CNS*2015), Praha, Czech Republic.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0006-9044-A Version Permalink: http://hdl.handle.net/21.11116/0000-0006-9045-9
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 Creators:
Fedorov, LA1, Author              
Giese, MA, Author              
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1External Organizations, ou_persistent22              

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 Abstract: oint-light or stick-figure biological motion stimuli, due to the absence of depth cues, can induce bistable perception, where the walker is perceived as heading in two alternating directions [1, 2]. Psychophysical studies suggested an importance of depth cues for biological motion perception [3]. However, neural models of biological motion perception so far have focused on the processing of features that characterize the 2D structure and motion of the human body [4, 5]. We extend such models for the processing of shading cues in order to analyze the three-dimensional structure of walkers from monocular stimuli. Model As extension of a learning-based neural model [4], we add a 'shading pathway' that computes the internal contrast gradients that vary with the 3D view of the walker, even if the silhouette information remains identical (Figure 1A-C). The model exploits physiologically plausible operations. After suppression of strong external luminance gradients caused by the boundaries of the silhouette, internal luminance gradient features are extracted by a hierarchy of neural detectors. These gradient features, combined with the shape features extracted by the form pathway of the model in [4], are used as input for 'snapshot neurons', RBF units that detect 3D body shapes (Figure 1D). These model neurons are embedded within a two-dimensional recurrent neural field [6] that jointly represents the sequential temporal structure of the stimulus and the view of the walker. Results The neural field dynamics reproduces perceptual multi-stability and spontaneous perceptual switching between stimulus views, observed for silhouette stimuli in psychophysical experiments [1, 2]. It also reproduces the disambiguation by addition of shading information and a new perceptual illusion, which illustrates a lighting-from-above prior in the processing of biological motion stimuli.

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 Dates: 2015-12
 Publication Status: Published in print
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 Identifiers: DOI: 10.1186/1471-2202-16-S1-P81
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Title: Twenty-Fourth Annual Computational Neuroscience Meeting (CNS*2015)
Place of Event: Praha, Czech Republic
Start-/End Date: 2015-07-18 - 2015-07-21

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Title: BMC Neuroscience
Source Genre: Journal
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Publ. Info: BioMed Central
Pages: - Volume / Issue: 16 (Supplement 1) Sequence Number: P81 Start / End Page: - Identifier: ISSN: 1471-2202
CoNE: https://pure.mpg.de/cone/journals/resource/111000136905018