Literature DB >> 19757921

Early-vision brain responses which predict human visual segmentation and learning.

Nitzan Censor1, Yoram Bonneh, Amos Arieli, Dov Sagi.   

Abstract

Brain processes underlying visual segmentation have been widely studied, being part of the basic processes underlying perception. However, the underlying constraints on perceptual thresholds, set by neuronal processing, remain unclear. Here, the relationship between human visual performance and brain activity was examined using the backward-masked texture segmentation task. Performance showed dependence on the time-interval between target and mask as well as on the amount of prior practice. Correspondingly, early components of human event-related potentials (ERPs) recorded over occipital electrodes showed strong interactions between target and mask responses, suggesting interference with perception processes when the presented mask interacts with sustained target processing. These interactions, revealing an otherwise undetected extended processing time course beyond the early component of the target response, enabled us to quantify individual neuronal thresholds that closely matched the behavioral thresholds (r = 0.93, p = 0.00003). Furthermore, these neuronal thresholds could be improved by practice, suggesting neuronal mechanisms affected by perceptual learning. Predicting performance level not directly detected in the ERP but rather by further interactions shown here in early stages of the visual hierarchy may have important implications in the study of human perception. Practice seems to reduce the temporal interactions between the successive stimuli, revealing brain processes underlying perceptual learning.

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Mesh:

Year:  2009        PMID: 19757921     DOI: 10.1167/9.4.12

Source DB:  PubMed          Journal:  J Vis        ISSN: 1534-7362            Impact factor:   2.240


  8 in total

1.  The dynamics of practice effects in an optotype acuity task.

Authors:  Sven P Heinrich; Katja Krüger; Michael Bach
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2011-04-21       Impact factor: 3.117

2.  Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation.

Authors:  Kazuhisa Shibata; Takeo Watanabe; Yuka Sasaki; Mitsuo Kawato
Journal:  Science       Date:  2011-12-09       Impact factor: 47.728

Review 3.  Common mechanisms of human perceptual and motor learning.

Authors:  Nitzan Censor; Dov Sagi; Leonardo G Cohen
Journal:  Nat Rev Neurosci       Date:  2012-09       Impact factor: 34.870

4.  Segmentation precedes face categorization under suboptimal conditions.

Authors:  Carlijn Van Den Boomen; Johannes J Fahrenfort; Tineke M Snijders; Chantal Kemner
Journal:  Front Psychol       Date:  2015-05-26

5.  A dissociation between consolidated perceptual learning and sensory adaptation in vision.

Authors:  Nitzan Censor; Hila Harris; Dov Sagi
Journal:  Sci Rep       Date:  2016-12-16       Impact factor: 4.379

6.  Perception as a closed-loop convergence process.

Authors:  Ehud Ahissar; Eldad Assa
Journal:  Elife       Date:  2016-05-09       Impact factor: 8.140

7.  Reading performance is enhanced by visual texture discrimination training in Chinese-speaking children with developmental dyslexia.

Authors:  Xiangzhi Meng; Ou Lin; Fang Wang; Yuzheng Jiang; Yan Song
Journal:  PLoS One       Date:  2014-09-23       Impact factor: 3.240

8.  Trained-feature-specific offline learning by sleep in an orientation detection task.

Authors:  Masako Tamaki; Zhiyan Wang; Takeo Watanabe; Yuka Sasaki
Journal:  J Vis       Date:  2019-10-01       Impact factor: 2.240

  8 in total

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