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...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| 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 |
| 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. |
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