The effects of distractors on brightness perception based on a spiking network
Abstract Visual perception can be modified by the surrounding context. Particularly, experimental observations have demonstrated that visual perception and primary visual cortical responses could be modified by properties of surrounding distractors. However, the underlying mechanism remains unclear....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-01-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-28326-4 |
| _version_ | 1811175874665381888 |
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| author | Weisi Liu Xinsheng Liu |
| author_facet | Weisi Liu Xinsheng Liu |
| author_sort | Weisi Liu |
| collection | DOAJ |
| description | Abstract Visual perception can be modified by the surrounding context. Particularly, experimental observations have demonstrated that visual perception and primary visual cortical responses could be modified by properties of surrounding distractors. However, the underlying mechanism remains unclear. To simulate primary visual cortical activities in this paper, we design a k-winner-take-all (k-WTA) spiking network whose responses are generated through probabilistic inference. In simulations, images with the same target and various surrounding distractors perform as stimuli. Distractors are designed with multiple varying properties, including the luminance, the sizes and the distances to the target. Simulations for each varying property are performed with other properties fixed. Each property could modify second-layer neural responses and interactions in the network. To the same target in the designed images, the modified network responses could simulate distinguishing brightness perception consistent with experimental observations. Our model provides a possible explanation of how the surrounding distractors modify primary visual cortical responses to induce various brightness perception of the given target. |
| first_indexed | 2024-04-10T19:44:04Z |
| format | Article |
| id | doaj.art-53dc5aa4c80641f08e504e3f8585c4ae |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-10T19:44:04Z |
| publishDate | 2023-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-53dc5aa4c80641f08e504e3f8585c4ae2023-01-29T12:09:55ZengNature PortfolioScientific Reports2045-23222023-01-0113111510.1038/s41598-023-28326-4The effects of distractors on brightness perception based on a spiking networkWeisi Liu0Xinsheng Liu1School of Mathematics and Information Sciences, Yantai UniversityState Key Laboratory of Mechanics and Control of Mechanical Structures, Institute of Nano Science and Department of Mathematics, Nanjing University of Aeronautics and AstronauticsAbstract Visual perception can be modified by the surrounding context. Particularly, experimental observations have demonstrated that visual perception and primary visual cortical responses could be modified by properties of surrounding distractors. However, the underlying mechanism remains unclear. To simulate primary visual cortical activities in this paper, we design a k-winner-take-all (k-WTA) spiking network whose responses are generated through probabilistic inference. In simulations, images with the same target and various surrounding distractors perform as stimuli. Distractors are designed with multiple varying properties, including the luminance, the sizes and the distances to the target. Simulations for each varying property are performed with other properties fixed. Each property could modify second-layer neural responses and interactions in the network. To the same target in the designed images, the modified network responses could simulate distinguishing brightness perception consistent with experimental observations. Our model provides a possible explanation of how the surrounding distractors modify primary visual cortical responses to induce various brightness perception of the given target.https://doi.org/10.1038/s41598-023-28326-4 |
| spellingShingle | Weisi Liu Xinsheng Liu The effects of distractors on brightness perception based on a spiking network Scientific Reports |
| title | The effects of distractors on brightness perception based on a spiking network |
| title_full | The effects of distractors on brightness perception based on a spiking network |
| title_fullStr | The effects of distractors on brightness perception based on a spiking network |
| title_full_unstemmed | The effects of distractors on brightness perception based on a spiking network |
| title_short | The effects of distractors on brightness perception based on a spiking network |
| title_sort | effects of distractors on brightness perception based on a spiking network |
| url | https://doi.org/10.1038/s41598-023-28326-4 |
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