Award
NIH Reporter #5F31DC022187-03
Modeling Individual Differences in the Temporal Dynamics of Spoken Word Recognition in Autistic Young Adults
Recipient
University of Connecticut Storrs
Award Amount
$2,843.00
Ceiling
$2,843.00
Awarded
May 26, 2026
Identifier
5F31DC022187-03
Research project studying spoken word recognition in autistic young adults using EEG and machine learning to understand language deficits and inform early intervention.
Description
The project aims to examine individual differences in the temporal and neural dynamics of spoken word recognition in autistic adults aged 18-35, using EEG and machine learning techniques. The study will compare autistic individuals with neurotypical peers, model ERP responses, and employ a support vector machine classifier to decode spoken words. The research seeks to clarify the role of processing efficiency in language deficits associated with autism, with implications for early intervention.