Reg Login
EN | CN
  • Home
  • Submit
  • Browse
  • Search
  • MyCenter
  • About
Submitted Date
  • 1
Subjects
  • 1
Authors
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
Institution
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
  • 1
result total 1.
Hide Summary Hits Date Downloads
  • 1. ChinaXiv:201605.01366
    Download

    Sharpened cortical tuning and enhanced cortico-cortical communication contribute to the long-term neural mechanisms of visual motion perceptual learning

    Subjects: Biology >> Biophysics >> Neurosciences submitted time 2016-05-12

    Chen, Nihong Li, Sheng Fang, Fang Chen, Nihong Li, Sheng Fang, Fang Chen, Nihong Li, Sheng Fang, Fang Chen, Nihong Fang, Fang Bi, Taiyong Bi, Taiyong Zhou, Tiangang Liu, Zili

    Abstract: Much has been debated about whether the neural plasticity mediating perceptual learning takes place at the sensory or decision-making stage in the brain. To investigate this, we trained human subjects in a visual motion direction discrimination task. Behavioral performance and BOLD signals were measured before, immediately after, and two weeks after training. Parallel to subjects' long-lasting behavioral improvement, the neural selectivity in V3A and the effective connectivity from V3A to IPS (intraparietal sulcus, a motion decisionmaking area) exhibited a persistent increase for the trained direction. Moreover, the improvement was well explained by a linear combination of the selectivity and connectivity increases. These findings suggest that the long-term neural mechanisms of motion perceptual learning are implemented by sharpening cortical tuning to trained stimuli at the sensory processing stage, as well as by optimizing the connections between sensory and decision-making areas in the brain. (C) 2015 Elsevier Inc. All rights reserved.

    Peer Review Status:Awaiting Review

     Hits 5425  Downloads 2523  Comment 0
Links : PubScholar 哲学社会科学预印本
  • Operating Unit: National Science Library,Chinese Academy of Sciences
  • Production Maintenance: National Science Library,Chinese Academy of Sciences
  • Mail: eprint@mail.las.ac.cn
  • Address: 33 Beisihuan Xilu,Zhongguancun,Beijing P.R.China
Recruiting preprint review experts License Information Term & Conditions