A unified account of tilt illusions, association fields, and contour detection based on Elastica
As expressed in the Gestalt law of good continuation, human perception tends to associate stimuli that form smooth continuations. Contextual modulation in primary visual cortex, in the form of association fields, is believed to play an important role in this process. Yet a unified and principled acc...
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| Format: | Article |
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Elsevier
2016
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| Online Access: | https://eprints.nottingham.ac.uk/49596/ |
| _version_ | 1848798033764941824 |
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| author | Keemink, Sander W. van Rossum, Mark C.W. |
| author_facet | Keemink, Sander W. van Rossum, Mark C.W. |
| author_sort | Keemink, Sander W. |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | As expressed in the Gestalt law of good continuation, human perception tends to associate stimuli that form smooth continuations. Contextual modulation in primary visual cortex, in the form of association fields, is believed to play an important role in this process. Yet a unified and principled account of the good continuation law on the neural level is lacking. In this study we introduce a population model of primary visual cortex. Its contextual interactions depend on the elastica curvature energy of the smoothest contour connecting oriented bars. As expected, this model leads to association fields consistent with data. However, in addition the model displays tilt-illusions for stimulus configurations with grating and single bars that closely match psychophysics. Furthermore, the model explains not only pop-out of contours amid a variety of backgrounds, but also pop-out of single targets amid a uniform background. We thus propose that elastica is a unifying principle of the visual cortical network. |
| first_indexed | 2025-11-14T20:13:20Z |
| format | Article |
| id | nottingham-49596 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:13:20Z |
| publishDate | 2016 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-495962020-05-04T20:01:13Z https://eprints.nottingham.ac.uk/49596/ A unified account of tilt illusions, association fields, and contour detection based on Elastica Keemink, Sander W. van Rossum, Mark C.W. As expressed in the Gestalt law of good continuation, human perception tends to associate stimuli that form smooth continuations. Contextual modulation in primary visual cortex, in the form of association fields, is believed to play an important role in this process. Yet a unified and principled account of the good continuation law on the neural level is lacking. In this study we introduce a population model of primary visual cortex. Its contextual interactions depend on the elastica curvature energy of the smoothest contour connecting oriented bars. As expected, this model leads to association fields consistent with data. However, in addition the model displays tilt-illusions for stimulus configurations with grating and single bars that closely match psychophysics. Furthermore, the model explains not only pop-out of contours amid a variety of backgrounds, but also pop-out of single targets amid a uniform background. We thus propose that elastica is a unifying principle of the visual cortical network. Elsevier 2016-09 Article PeerReviewed Keemink, Sander W. and van Rossum, Mark C.W. (2016) A unified account of tilt illusions, association fields, and contour detection based on Elastica. Vision Research, 126 . pp. 164-173. ISSN 1878-5646 Association fields; Tilt illusion; Contextual interactions; Smoothness; Elastica; Gestalt https://www.sciencedirect.com/science/article/pii/S0042698915002540 doi:10.1016/j.visres.2015.05.021 doi:10.1016/j.visres.2015.05.021 |
| spellingShingle | Association fields; Tilt illusion; Contextual interactions; Smoothness; Elastica; Gestalt Keemink, Sander W. van Rossum, Mark C.W. A unified account of tilt illusions, association fields, and contour detection based on Elastica |
| title | A unified account of tilt illusions, association fields, and contour detection based on Elastica |
| title_full | A unified account of tilt illusions, association fields, and contour detection based on Elastica |
| title_fullStr | A unified account of tilt illusions, association fields, and contour detection based on Elastica |
| title_full_unstemmed | A unified account of tilt illusions, association fields, and contour detection based on Elastica |
| title_short | A unified account of tilt illusions, association fields, and contour detection based on Elastica |
| title_sort | unified account of tilt illusions, association fields, and contour detection based on elastica |
| topic | Association fields; Tilt illusion; Contextual interactions; Smoothness; Elastica; Gestalt |
| url | https://eprints.nottingham.ac.uk/49596/ https://eprints.nottingham.ac.uk/49596/ https://eprints.nottingham.ac.uk/49596/ |