Cognitive and Neural Mechanisms of Probabilistic Category Learning
DOI:
Author:
Affiliation:

Institute of Psychology, Chinese Academy of Sciences,Institute of Psychology, Chinese Academy of Sciences,Institute of Psychology, Chinese Academy of Sciences

Clc Number:

Fund Project:

This work was supported by grants from National Basic Research Program of China (2011CB302201) and The National Natural Science Foundation of China (31270024)

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    In probabilistic category learning tasks, people learn incrementally the "probabilistic" association between cues and outcomes. Here, we first discussed cognitive strategies used in probabilistic category learning, the unconsciousness of probabilistic category learning, as well as the relationship between probabilistic category learning and working memory and attention. Then, we reviewed the different roles of various brain regions, including the basal ganglia, the medial temporal lobe, the prefrontal lobe and the parietal lobe, in probabilistic category learning. Finally, we suggest that probabilistic category learning might involve both implicit and explicit processes and future research is needed to further explore the cognitive and neural mechanisms of probabilistic category learning.

    Reference
    Related
    Cited by
Get Citation

LI Kai-Yun, FU Qiu-Fang, FU Xiao-Lan. Cognitive and Neural Mechanisms of Probabilistic Category Learning[J]. Progress in Biochemistry and Biophysics,2012,39(11):1037-1044

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:September 30,2011
  • Revised:November 09,2011
  • Accepted:November 11,2011
  • Online: March 25,2013
  • Published: November 20,2012