The role of cross-modal associations in statistical learning

Arit Glicksohn*, Asher Cohen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

Our environment is richly structured, with objects producing correlated information within and across sensory modalities. A prominent challenge faced by our perceptual system is to learn such regularities. Here, we examined statistical learning and addressed learners' ability to track transitional probabilities between elements in the auditory and visual modalities. Specifically, we investigated whether cross-modal information affects statistical learning within a single modality. Participants were familiarized with a statistically structured modality (e.g., either audition or vision) accompanied by different types of cues in a second modality (e.g., vision or audition). The results revealed that statistical learning within either modality is affected by cross-modal information, with learning being enhanced or reduced according to the type of cue provided in the second modality.

Original languageAmerican English
Pages (from-to)1161-1169
Number of pages9
JournalPsychonomic Bulletin and Review
Volume20
Issue number6
DOIs
StatePublished - Dec 2013

Bibliographical note

Funding Information:
We thank Anat Hornik and Tali Arad for their assistance in running the experiments. This work was funded by a grant from the Israel Science Foundation to A.C.

Keywords

  • Cross-modal associations
  • Grouping
  • Statistical learning

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