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...

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Bibliographic Details
Main Authors: Lili Zhang, Himanshu Vashisht, Andrey Totev, Nam Trinh, Tomas Ward
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2022.943198/full