Author

Andrew Liu

University of UtahORCID 0000-0003-2032-9842Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:deep learning· 1 Approach:statistical model· 1

Frequent Co-Authors

Alla BorisyukiD· 2 shared Ben ShoftyiD· 2 shared Elliot H. SmithiD· 2 shared Niloufar ShahdoustiD· 2 shared Rhiannon L CowaniD· 2 shared Shervin RahimpouriD· 2 shared T. Alexander PriceiD· 2 shared Tyler S. DavisiD· 2 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersNeuroscience

Alla BorisyukORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 20, 2026

Low-dimensional factorized neural computations underlie risk-adaptive choices

T. Alexander Price, Andrew Liu, Rhiannon L Cowan…·Elliot H. Smith

The paper uses deep reinforcement learning to model risk-adaptive decision-making strategies and identifies low-dimensional neural dynamics associated with high-performing strategies in humans.

DOI 10.64898/2026.08.12.744223

humandeep learning

𝕏 PostBluesky

NeurosciencebioRxivPreprintMar 11, 2026

Asymmetric Reinforcement Learning Explains Human Choice Patterns in Decision-making Under Risk

Niloufar Shahdoust, Rhiannon L Cowan, T. Alexander Price…·Elliot H. Smith

This study shows that an asymmetric reinforcement learning model better explains human decision-making under risk than symmetric models.

DOI 10.64898/2026.03.09.710615

humanstatistical model

𝕏 PostBluesky