Extraction and generalisation of category-level information during visual statistical learning in autistic people

Author:

Parsons OwenORCID,Baron-Cohen Simon

Abstract

Background We examined whether information extracted during a visual statistical learning task could be generalised from specific exemplars to semantically similar ones. We then looked at whether performance in autistic people differed to non-autistic people during a visual statistical learning task and specifically examined whether differences in performance between groups occurred when sequential information was presented at a semantic level. We did this by assessing recall performance using a two-alternative forced choice paradigm after presenting participants with a sequence of naturalistic scene images. Methods 125 adult participants (61 participants with an autism diagnosis and 64 non-autistic controls) were presented with a fast serial presentation sequence of images and given a cover task to avoid attention being explicitly drawn to patterns in the underlying sequences. This was followed by a two-alternative forced choice task to assess participants’ implicit recall. Participants were presented with 1 of 3 unique versions of the task, in which the presentation and assessment of statistical regularities was done at either a low feature-based level or a high semantic-based level. Results Participants were able to generalise statistical information from specific exemplars to semantically similar ones. There was an overall significant reduction in visual statistical learning in the autistic group but we were unable to determine whether group differences occurred specifically in conditions where the learning of semantic information was required. Conclusions These results provide evidence that participants are able to extract statistical information that is presented at the level of specific exemplars and generalise it to semantically similar contexts. We also showed a modest but statistically significant reduction in recall performance in the autistic participants relative to the non-autistic participants.

Funder

Wellcome Trust

Innovative Medicines Initiative 2 Joint Undertaking

Autism Centre of Excellence

SFARI

Templeton World Charitable Fund

Medical Research Council

NIHR Cambridge Biomedical Research Centre

NIHR Applied Research Collaboration East of England

Medical Research Council PhD Studentship

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

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