Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior

Research article (PLoS Computational Biology, 2024) · cited 14× · AI/ML
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Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior

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Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior. Retrieved May 24, 2026, from https://4ort.xyz/entity/harnessing-the-flexibility-of-neural-networks-to-predict-dynamic-theoretical-parameters-underlying-human-choice-behavior
MLA “Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/harnessing-the-flexibility-of-neural-networks-to-predict-dynamic-theoretical-parameters-underlying-human-choice-behavior.
BibTeX @misc{4ortxyz_harnessing-the-flexibility-of-neural-networks-to-predict-dynamic-theoretical-parameters-underlying-human-choice-behavior_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Harnessing the flexibility of neural networks to predict dynamic theoretical parameters underlying human choice behavior}}, year = {2026}, url = {https://4ort.xyz/entity/harnessing-the-flexibility-of-neural-networks-to-predict-dynamic-theoretical-parameters-underlying-human-choice-behavior}, note = {Accessed: 2026-05-24}}
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