Author

Mihai Capotă

Intel (United States)ORCID 0000-0002-7323-2393Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Assay:imaging· 1 Organism:non-human primate· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alexander Li CoheniD· 1 shared Anders EklundiD· 1 shared Anisha KeshavaniD· 1 shared Benjamin Y. HaydeniD· 1 shared Christopher J. SteeleiD· 1 shared David A. RaffeltiD· 1 shared Fidel Alfaro‐AlmagroiD· 1 shared Franziskus LiemiD· 1 shared

Activity by Year

2017-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Alexander Li CohenORCID

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2 papers

Recent·Most cited

A Comparison of Non-human Primate and Deep Reinforcement Learning Agent Performance in a Virtual Pursuit-Avoidance Task

Theodore L. Willke, Seng Bum Michael Yoo, Mihai Capotă, Sebastian Musslick, Benjamin Y. Hayden, Jonathan D. Cohen

This study compares non-human primate and deep reinforcement learning agent performance in a virtual pursuit-avoidance task, finding agents primarily learn first-order physics while the primate exhibits second-order physics.

bioRxiv · Jul 7, 2019 · PreprintNeuroscience

BIDS Apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

Krzysztof J. Gorgolewski, Fidel Alfaro‐Almagro, Tibor Auer, Pierre Bellec, Mihai Capotă, M. Mallar Chakravarty, Nathan W. Churchill, Alexander Li Cohen, Richard Cameron Craddock, Gabriel A. Devenyi, Anders Eklund, Oscar Estéban, Guillaume Flandin, Satrajit Ghosh, J. Swaroop Guntupalli, , Russell Alan Poldrack

This paper introduces BIDS Apps, a framework for creating portable neuroimaging analysis tools compatible with BIDS data, improving reproducibility and ease of use.

PLoS Computational Biology · Mar 9, 2017Peer-reviewedNeuroscience