Family lexicon: Using language models to encode memories of personally familiar and famous people and places in the brain.

ABSTRACT: Knowledge about personally familiar people and places is extremely rich and varied, involving pieces of semantic information connected in unpredictable ways through past autobiographical memories. In this work, we investigate whether we can capture brain processing of personally familiar people and places using subject-specific memories, after transforming them into vectorial semantic representations using language models. First, we asked participants to provide us with the names of the closest people and places in their lives. Then we collected open-ended answers to a questionnaire, aimed at capturing various facets of declarative knowledge. We collected EEG data from the same participants while they were reading the names and subsequently mentally visualizing their referents. As a contro

SUBMITTER: Bruera A 

PROVIDER: S-EPMC11584084 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature