Pupillometry reveals cognitive demands of lexical competition during spoken word recognition in young and older adults.

ABSTRACT: In most contemporary activation-competition frameworks for spoken word recognition, candidate words compete against phonological "neighbors" with similar acoustic properties (e.g., "cap" vs. "cat"). Thus, recognizing words with more competitors should come at a greater cognitive cost relative to recognizing words with fewer competitors, due to increased demands for selecting the correct item and inhibiting incorrect candidates. Importantly, these processes should operate even in the absence of differences in accuracy. In the present study, we tested this proposal by examining differences in processing costs associated with neighborhood density for highly intelligible items presented in quiet. A second goal was to examine whether the cognitive demands associated with increased neighborhood

SUBMITTER: McLaughlin DJ 

PROVIDER: S-EPMC9169067 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature