| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Ling-Qi Zhang, Jiang Mao, Geoffrey K Aguirre, Alan A Stocke. The tilt illusion arises from an efficient reallocation of neural coding resources at the contextual boundary. bioRxiv : the preprint server for biology. 2024-09-30. PMID:39345627. |
the effect of surround modulation increases along the ventral stream, and is localized to the portion of the visual cortex with receptive fields at the center-surround boundary. |
2024-09-30 |
2024-10-02 |
human |
| Bao N Nguyen, Bhavatharini Ramakrishnan, Anuradha Narayanan, Jameel R Hussaindeen, Allison M McKendric. Perceptual Center-Surround Contrast Suppression in Adolescence. Investigative ophthalmology & visual science. vol 64. issue 5. 2023-05-18. PMID:37200040. |
the early teen years are associated with neurotransmitter changes in the human visual cortex, which could impact on excitation-inhibition balance and center-surround antagonistic effects. |
2023-05-18 |
2023-08-14 |
human |
| Jiakun Fu, Suhas Shrinivasan, Kayla Ponder, Taliah Muhammad, Zhuokun Ding, Eric Wang, Zhiwei Ding, Dat T Tran, Paul G Fahey, Stelios Papadopoulos, Saumil Patel, Jacob Reimer, Alexander S Ecker, Xaq Pitkow, Ralf M Haefner, Fabian H Sinz, Katrin Franke, Andreas S Tolia. Pattern completion and disruption characterize contextual modulation in mouse visual cortex. bioRxiv : the preprint server for biology. 2023-03-30. PMID:36993321. |
we used large-scale neuronal recordings in mouse primary visual cortex to train convolutional neural network (cnn) models that accurately predicted center-surround interactions for natural stimuli. |
2023-03-30 |
2023-08-14 |
mouse |
| Tiberiu Tesileanu, Eugenio Piasini, Vijay Balasubramania. Efficient processing of natural scenes in visual cortex. Frontiers in cellular neuroscience. vol 16. 2022-12-22. PMID:36545653. |
this "efficient coding" principle has been used to explain many aspects of early visual circuits including the distribution of photoreceptors, the mosaic geometry and center-surround structure of retinal receptive fields, the excess off pathways relative to on pathways, saccade statistics, and the structure of simple cell receptive fields in v1. |
2022-12-22 |
2023-08-14 |
rat |
| Jun-Ya Okamura, Ridey Hsiao Wang, Kousuke Kawano, Gang Wan. Differences in the neuronal correlation between the central and peripheral vision in the cat early visual cortex. Neuroreport. vol 32. issue 10. 2021-09-20. PMID:34029284. |
to understand the neural bases underlying the differences of the functions between the cortical areas corresponding to the center and periphery of the visual field, responses of the cells in the cat early visual cortex with their receptive fields in the center and periphery of the visual field were recorded by using multichannel electrodes, and cross-correlations of the spikes in the responses to the full-field stimuli, and the center-surround stimuli, which contained a grating in a central patch and a surround grating, were analyzed. |
2021-09-20 |
2023-08-13 |
cat |
| Huan Wang, Zhengchun Wang, Yifeng Zhou, Tzvetomir Tzvetano. Moderate Alcohol Intake Changes Visual Perception by Enhancing V1 Inhibitory Surround Interactions. Frontiers in neuroscience. vol 15. 2021-07-23. PMID:34290580. |
in this study, we investigated this issue by using center-surround tilt illusion (ti) as a probe of v1 inhibitory interactions, by taking into account possible higher-order effects. |
2021-07-23 |
2023-08-13 |
human |
| Susana Martinez-Conde, Michael B McCamy, Xoana G Troncoso, Jorge Otero-Millan, Stephen L Mackni. Area V1 responses to illusory corner-folds in Vasarely's nested squares and the Alternating Brightness Star illusions. PloS one. vol 14. issue 3. 2019-11-21. PMID:30921330. |
center-surround difference-of-gaussians (dog) modeling did not replicate this linear relationship, however, suggesting that a full neural explanation of the nested squares and abs illusions might be found in the visual cortex, rather than at subcortical stages. |
2019-11-21 |
2023-08-13 |
dog |
| Parvin Zarei Eskikand, Tatiana Kameneva, Michael R Ibbotson, Anthony N Burkitt, David B Grayde. A biologically-based computational model of visual cortex that overcomes the X-junction illusion. Neural networks : the official journal of the International Neural Network Society. vol 102. 2018-08-14. PMID:29510263. |
these neurons have polarity-dependent center-surround receptive fields, as found in layer 4 of v1 in primates. |
2018-08-14 |
2023-08-13 |
Not clear |
| Parvin Zarei Eskikand, Tatiana Kameneva, Michael R Ibbotson, Anthony N Burkitt, David B Grayde. A biologically-based computational model of visual cortex that overcomes the X-junction illusion. Neural networks : the official journal of the International Neural Network Society. vol 102. 2018-08-14. PMID:29510263. |
therefore, the excitatory inputs received by integration mt neurons from center-surround v1 neurons enhance the unambiguous motion signals at the intrinsic terminators, which therefore dominate over the local motion signals generated at x-junctions. |
2018-08-14 |
2023-08-13 |
Not clear |
| Parvin Zarei Eskikand, Tatiana Kameneva, Michael R Ibbotson, Anthony N Burkitt, David B Grayde. A biologically-based computational model of visual cortex that overcomes the X-junction illusion. Neural networks : the official journal of the International Neural Network Society. vol 102. 2018-08-14. PMID:29510263. |
the results show that, despite the inability of v1 end-stopped neurons to distinguish between the two different types of terminators, center-surround v1 neurons provide the capacity for the second stage of the model to preferentially respond to the intrinsic terminators and, therefore, predict the true directions of the crossing bars. |
2018-08-14 |
2023-08-13 |
Not clear |
| Alessio Fracasso, Natalia Petridou, Serge O Dumouli. Systematic variation of population receptive field properties across cortical depth in human visual cortex. NeuroImage. vol 139. 2018-02-08. PMID:27374728. |
receptive fields (rfs) in visual cortex are organized in antagonistic, center-surround, configurations. |
2018-02-08 |
2023-08-13 |
human |
| Alessio Fracasso, Natalia Petridou, Serge O Dumouli. Systematic variation of population receptive field properties across cortical depth in human visual cortex. NeuroImage. vol 139. 2018-02-08. PMID:27374728. |
however, it is unknown how center-surround configurations are organized in human visual cortex across lamina. |
2018-02-08 |
2023-08-13 |
human |
| Dasuni S Alwis, Katrina L Richards, Nicholas S C Pric. Masking reduces orientation selectivity in rat visual cortex. Journal of neurophysiology. vol 116. issue 5. 2017-09-05. PMID:27535373. |
for the first time, we examine how spatially overlapping and center-surround masking affect orientation discriminability (rather than visibility) in v1. |
2017-09-05 |
2023-08-13 |
rat |
| Kai-Fu Yang, Chao-Yi Li, Yong-Jie L. Potential roles of the interaction between model V1 neurons with orientation-selective and non-selective surround inhibition in contour detection. Frontiers in neural circuits. vol 9. 2016-02-24. PMID:26136664. |
the findings of this study suggest that v1 neurons with different types of center-surround interaction work in cooperative and adaptive ways at least when extracting organized structures from cluttered natural scenes. |
2016-02-24 |
2023-08-13 |
Not clear |
| Julia B Zaltsman, J Alexander Heimel, Stephen D Van Hoose. Weak orientation and direction selectivity in lateral geniculate nucleus representing central vision in the gray squirrel Sciurus carolinensis. Journal of neurophysiology. vol 113. issue 7. 2015-12-28. PMID:25717157. |
classic studies of lateral geniculate nucleus (lgn) and visual cortex (v1) in carnivores and primates have found that a majority of neurons in lgn exhibit a center-surround organization, while v1 neurons exhibit strong orientation selectivity and, in many species, direction selectivity. |
2015-12-28 |
2023-08-13 |
mouse |
| Kai-Fu Yang, Chao-Yi Li, Yong-Jie L. Multifeature-based surround inhibition improves contour detection in natural images. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 23. issue 12. 2015-10-23. PMID:25291794. |
the exquisite sensitivity of v1 neurons to the center-surround stimulus configuration is thought to serve important perceptual functions, including contour detection. |
2015-10-23 |
2023-08-13 |
monkey |
| Alexander R Trott, Richard T Bor. Input-gain control produces feature-specific surround suppression. The Journal of neuroscience : the official journal of the Society for Neuroscience. vol 35. issue 12. 2015-06-15. PMID:25810527. |
to do so, we exploited the stability of implanted multielectrode arrays to record from neurons in v1 of alert monkeys with multiple stimulus sets that more exhaustively probed center-surround interactions. |
2015-06-15 |
2023-08-13 |
monkey |
| Jenny C A Read, Renos Georgiou, Claire Brash, Partow Yazdani, Roger Whittaker, Andrew J Trevelyan, Ignacio Serrano-Pedraz. Moderate acute alcohol intoxication has minimal effect on surround suppression measured with a motion direction discrimination task. Journal of vision. vol 15. issue 1. 2015-03-06. PMID:25583875. |
it is usually attributed to center-surround antagonism between neurons in visual cortex, believed to be mediated by gaba-ergic inhibition. |
2015-03-06 |
2023-08-13 |
human |
| Siyu Zhang, Min Xu, Tsukasa Kamigaki, Johnny Phong Hoang Do, Wei-Cheng Chang, Sean Jenvay, Kazunari Miyamichi, Liqun Luo, Yang Da. Selective attention. Long-range and local circuits for top-down modulation of visual cortex processing. Science (New York, N.Y.). vol 345. issue 6197. 2014-08-26. PMID:25104383. |
focal activation of cg axons in v1 caused a response increase at the activation site but a decrease at nearby locations (center-surround modulation). |
2014-08-26 |
2023-08-13 |
mouse |
| András Lörincz, Zsolt Palotai, Gábor Szirte. Efficient sparse coding in early sensory processing: lessons from signal recovery. PLoS computational biology. vol 8. issue 3. 2012-06-25. PMID:22396629. |
when applied on natural images, our decomposition based sparse coding model can efficiently form overcomplete codes and both center-surround and oriented filters are obtained similar to those observed in the retina and the primary visual cortex, respectively. |
2012-06-25 |
2023-08-12 |
human |