Neural Mechanisms of Implicit Visual Probability Learning

Philip Tseng, Hui-Yan Chiau, Chia-Lun Liu, Tzu-Yu Hsu, Chi-Fu Chang, Chang-Mao Chao, Wei-Kuang Liang, Chi-Hung Juan

Research output: Contribution to journalArticlepeer-review


Predictive information exists ubiquitously in the visual environment. Such information signals the probability or likelihood of upcoming events, thus facilitating the visual system in preparing optimal responses in advance. This ability of the visual system to implicitly acquire predictive and probabilistic information has been well documented by behavioral evidence from many domains (e.g., spatial, temporal, and abstract probability). Recently, neurophysiological studies have begun to elucidate the neural mechanisms underlying these learning processes and suggest a critical involvement of the fronto-parietal network and medial temporal lobe. In this paper we review evidence for such learning at the visual attention and oculomotor control levels. We also review some of the studies that delineate the neural substrates that contribute to probability learning at both levels: including the frontal eye field, supplementary eye field, posterior parietal cortex, and medial temporal lobe. Together, each of these regions provides a unique and critical contribution to probability learning in visual attention and oculomotor control.
Translated title of the contribution內隱性視覺機率學習的神經機制
Original languageEnglish
Pages (from-to)115-131
Number of pages17
JournalChinese Journal of Psychology
Issue number1
Publication statusPublished - 2012
Externally publishedYes


  • 可預測性
  • 視覺注意力
  • 眼球運動
  • 跨顱磁刺激
  • 機率


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