Large language models surpass human experts in predicting neuroscience results

[Data availability] Human participant data, and intermediate data generated via simulations and analyses, are publicly available via GitHub at https://github.com/braingpt-lovelab/BrainBench. Model weights and training data are available at https://huggingface.co/BrainGPT. Model training data are sou...

Descripción completa

Detalles Bibliográficos
Autores: Luo, Xiaoliang, Rechardt, Akilles, Sun, Guangzhi, Nejad, Kevin K, Yáñez, Felipe, Yilmaz, Bati, Lee, Kangjoo, Cohen, Alexandra O, Borghesani, Valentina, Pashkov, Anton, Marinazzo, Daniele, Nicholas, Jonathan, Salatiello, Alessandro, Sucholutsky, Ilia, Minervini, Pasquale, Razavi, Sepehr, Rocca, Roberta, Yusifov, Elkhan, Okalova, Tereza, Gu, Nianlong, Ferianc, Martin, Khona, Mikail, Patil, Kaustubh R, Lee, Pui-Shee, Mata, Rui, Myers, Nicholas E, Bizley, Jennifer K, Musslick, Sebastian, Bilgin, Isil Poyraz, Niso, Guiomar, Ales, Justin M, Gaebler, Michael, Ratan Murty, N Apurva, Loued-Khenissi, Leyla, Behler, Anna, Hall, Chloe M, Dafflon, Jessica, Bao, Sherry Dongqi, Love, Bradley C
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/395833
Acceso en línea:http://hdl.handle.net/10261/395833
https://api.elsevier.com/content/abstract/scopus_id/85203189734
Access Level:acceso abierto
Palabra clave:Neuroscience
Scientific community
http://metadata.un.org/sdg/3
Ensure healthy lives and promote well-being for all at all ages
Descripción
Sumario:[Data availability] Human participant data, and intermediate data generated via simulations and analyses, are publicly available via GitHub at https://github.com/braingpt-lovelab/BrainBench. Model weights and training data are available at https://huggingface.co/BrainGPT. Model training data are sourced from PubMed and PubMed Central Open Access Subset (PMC OAS) using the Entrez Programming Utilities (E-utilities) API and the pubget Python package, respectively.