Author

Theodore L. Willke

Intel (United States)ORCID 0000-0001-9825-513XUnclaimed 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 Approach:Bayesian inference· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Organism:human· 1 Assay:imaging· 1 Approach:matrix factorization· 1

Frequent Co-Authors

Benjamin Y. HaydeniD· 1 shared David M. BleiiD· 1 shared Jeremy R. ManningiD· 1 shared Jonathan D. CoheniD· 1 shared Kenneth A. NormaniD· 1 shared Kimberly StachenfeldiD· 1 shared Mihai CapotăiD· 1 shared Rajesh RanganathiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Benjamin Y. HaydenORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 7, 2019

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…·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.

3 citations

non-human primatedeep learning

𝕏 PostBluesky

NeuroscienceNeuroImagePeer-reviewedOct 1, 2018

A probabilistic approach to discovering dynamic full-brain functional connectivity patterns

Jeremy R. Manning, Xia Zhu, Theodore L. Willke…·Kenneth A. Norman

This paper introduces HTFA, a Bayesian hierarchical matrix factorization model, to discover dynamic full-brain functional connectivity patterns from fMRI data and shows it can decode cognitive states during storytelling and TV watching.

29 citations

humanimaging

𝕏 PostBluesky