Decoding the phenomenology of spontaneous thought using large language-model ratings on verbal retrospective free reports
Nicolás Marcelo Bruno, Federico Cavanna, Federico Zamberlán, Tomás Ariel D’Amelio, Stephanie Andrea Muller, Laura Alethia de la Fuente, Jacobo Diego Sitt, Antoni Valero‐Cabré, Mirta Villarreal, Enzo Tagliazucchi, Carla Pallavicini
This study uses large language models to annotate spontaneous thoughts from verbal reports and decodes their emotional valence from EEG data.
bioRxiv · Apr 26, 2026 · PreprintNeuroscience