BoDxGPT2

Authors: Donald Dunagan
Cited by: 0

Abstract

This is a code repository for analyses of Christian Brodbeck's 2022 Botany of Desire (BoD) naturalistic MEG dataset using predictors derived from GPT-2. Analyses are performed: in both the time as well as the time-frequency domain; in both sensor as well as source space; and using word-by-word complexity metrics of both disambiguation and memory retrieval.

Fields of Study & Subjects

Biomedical Text Mining and Ontologies Topic Modeling Multimodal Machine Learning Applications

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
27 May 2026
Document type
Preprint