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A comparison of distributed machine learning methods for the support of “many labs” collaborations in computational modeling of decision making
Deep learning models are powerful tools for representing the complex learning processes and decision-making strategies used by humans. Such neural network models make fewer assumptions about the underlying mechanisms thus providing experimental flexibility in terms of applicability. However, this co...
Autores principales: | Zhang, Lili, Vashisht, Himanshu, Totev, Andrey, Trinh, Nam, Ward, Tomas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9453750/ https://www.ncbi.nlm.nih.gov/pubmed/36092038 http://dx.doi.org/10.3389/fpsyg.2022.943198 |
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