Author

Michael Kleinman

University of California, Los AngelesORCID 0000-0002-4643-538XUnclaimed 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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Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:software / tool· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Assay:electronic health records· 1

Frequent Co-Authors

Chandramouli ChandrasekaraniD· 2 shared Jonathan C. KaoiD· 2 shared Derek Xiao· 1 shared Ebrahim FeghhiiD· 1 shared Eric LeeiD· 1 shared Nicole CarriD· 1 shared Nima HadidiiD· 1 shared Tian WangiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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2 shared papersNeuroscience

Chandramouli ChandrasekaranORCID

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2 papers

Recent·Most cited

The information bottleneck as a principle underlying multi-area cortical representations during decision-making

Michael Kleinman, Tian Wang, Derek Xiao, Ebrahim Feghhi, Eric Lee, Nicole Carr, Yuke Li, Nima Hadidi, Chandramouli Chandrasekaran, Jonathan C. Kao

The paper shows that brain areas form minimal sufficient representations of task inputs through preferential propagation of relevant information during decision-making.

bioRxiv · Jul 12, 2023 · PreprintNeuroscience

Recurrent neural network models of multi-area computation underlying decision-making

Michael Kleinman, Chandramouli Chandrasekaran, Jonathan C. Kao

This paper uses multi-area recurrent neural networks to model decision-making dynamics in the brain, finding that orthogonal representations of decision variables are preferentially propagated through inter-area connections.

bioRxiv · Nov 6, 2020 · PreprintNeuroscience