A review on feature binding theory and its functions observed in perceptual process

Shifei Ding, Lingheng Meng, Youzhen Han, Yu Xue

Research output: Contribution to journalReview ArticleResearchpeer-review

12 Citations (Scopus)

Abstract

Binding problem, which is also called feature binding, is primarily about integrating distributed information scattered on different cortical areas in a reasonable way. As a key problem in cognitive science and neuroscience, this concept is increasingly becoming a focus of consciousness study. This paper first introduced the concept, characteristics, and biological basis of feature binding. Then, this paper illustrated three feature binding theories namely feature integration theory, synchronous neural activation theory, and neural network model of feature binding, and then reviewed the advantages and disadvantages of these three feature binding theories. To demonstrate why feature binding indeed exists, we reviewed works on the functions of feature binding observed in perceptual learning. Conclusions were reached that feature binding exists in many processes of perception. This paper also suggested future research in this area should focus on systematic study of bundled brain mechanisms.

Original languageEnglish
Pages (from-to)194-206
Number of pages13
JournalCognitive Computation
Volume9
Issue number2
DOIs
Publication statusPublished - Apr 2017
Externally publishedYes

Keywords

  • Cognitive neuroscience
  • Feature binding
  • Perceptual learning
  • Synchronous neural oscillations
  • γ-band oscillations

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