Author

Andrew R. Sedler

Georgia Institute of TechnologyORCID 0000-0001-9480-0698Unclaimed 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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Approach:deep learning· 2 Research Focus:dimensionality reduction· 2 Research Focus:benchmarking· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Organism:non-human primate· 1 Approach:statistical model· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Chethan PandarinathiD· 2 shared Lee E. MilleriD· 2 shared Mohammad Reza KeshtkaraniD· 2 shared Brianna M. KarpowicziD· 1 shared Daniel B. RubiniD· 1 shared Diya BasraiiD· 1 shared Hansem SohniD· 1 shared Kevin L. BodkiniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

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10 top collaborators · 35 mutual co-author links

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2 shared papersNeuroscience

Chethan PandarinathORCID

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2 papers

Recent·Most cited

NeuroscienceNature CommunicationsPeer-reviewedMay 19, 2025

Stabilizing brain-computer interfaces through alignment of latent dynamics

Brianna M. Karpowicz, Yahia H Ali, Lahiru N. Wimalasena…·Chethan Pandarinath

This paper introduces NoMAD, a method that stabilizes brain-computer interfaces by aligning latent dynamics, achieving stable decoding without supervised recalibration over long periods.

71 citationstop 1%

non-human primateelectronic health records

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NeuroscienceNature MethodsPeer-reviewedNov 28, 2022

A large-scale neural network training framework for generalized estimation of single-trial population dynamics

Mohammad Reza Keshtkaran, Andrew R. Sedler, Raeed H. Chowdhury…·Chethan Pandarinath

This paper introduces AutoLFADS, an automated framework for estimating neural population dynamics from neural data without supervisory information, validated on multiple datasets.

78 citationstop 1%

deep learningdimensionality reduction

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