ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2017, Vol. 25 ›› Issue (suppl.): 91-91.

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 PERCEPTUAL LEARNING INCREASES THE SENSORY GAIN OF THE EARLY AND LATE ERP COMPONENT

 Xi Jie a; Wu-li Jia a, b; Pan Zhang a, c; Chang-bing Huang   

  1.  a Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences, 16 Lincui Road, Chaoyang Dist., Beijing, China, 100101
    b Departments of Psychology, Huaiyin Normal University, Huaian, China, 223001
    c Laboratory of Brain Processes (LOBES), Departments of Psychology, The Ohio State University, Columbus, OH, United States of America, 43210
  • 出版日期:2017-08-26 发布日期:2017-08-13
  • 基金资助:
     

 

    

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  • Online:2017-08-26 Published:2017-08-13
  • Supported by:
     

摘要:  PURPOSE: Despite training makes perfect improvement in most perceptual tasks, the neural and functional mechanisms of perceptual learning are still under debate. Here we used a combination of psychophysics, event-related potentials (ERPs), and quantitative modeling to explicitly link learning-induced behavioral improvements with changes in neural activities.
METHODS: Twenty subjects underwent ten sessions of training to identify the orientation of a peripherally presented sinewave grating. A set of psychophysics and ERP measurements at different retinal locations, contrast levels, and eyes were conducted before and after training.
RESULTS: We found that training substantially improved visual acuity and contrast sensitivity functions, increased the amplitude, and decreased the latency of the ERP components at the trained location. The learning effect was particularly pronounced around the trained condition, consistent with previous findings. Modeling analysis revealed that training led to changes in both contrast, slope and response gains for different ERP component, and learning induced changes encompassed different sensory gain from the early to the late ERP components. Moreover, the learning effects and improvements in latency at the trained location were largely retained over a three-month period.
CONCLUSIONS: Our results support a model of PL in which neuronal plasticity occurs at both early and late ERP components, but with different mechanisms. The results of the late ERP components may reflect top-down effects such as attention involved in the processing of the stimuli which amplify the increase of the amplitude or decrease the latency of the late ERP components.

关键词:  , Perceptual learning, Contrast Response Function, ERPs, Contrast gain, Response gain

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