Author

Rachel Rac-Lubashevsky

Brown UniversityORCID 0000-0002-7578-9814Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Assay:electronic health records· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Assay:imaging· 1

Frequent Co-Authors

Michael J. FrankiD· 2 shared Allie Loder· 1 shared Alyssa Roberts· 1 shared Andrew P. YonelinasiD· 1 shared Angus W. MacDonaldiD· 1 shared Cameron S. CarteriD· 1 shared Deanna M. BarchiD· 1 shared Heleen A. SlagteriD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersPathology

Michael J. FrankORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

PathologyBiological Psychiatry Global Open SciencePeer-reviewedNov 29, 2025

Model-based EEG phenotyping uncovers distinct neurocomputational mechanisms underlying learning impairments across psychopathologies

Nadja Rita Ging-Jehli, Rachel Rac-Lubashevsky, Krishn Bera…·Michael J. Frank

This paper uses model-based EEG analysis to identify distinct neurocomputational mechanisms of learning impairments in MDD, BP, and SCZ compared to controls.

DOI 10.1016/j.bpsgos.2025.100660

humanelectronic health records

𝕏 PostBluesky

NeurosciencePLoS Computational BiologyPeer-reviewedJun 7, 2021

Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence

Rachel Rac-Lubashevsky, Michael J. Frank

The paper investigates cognitive gating operations in working memory using electrophysiological data and computational modeling, finding analogous computations across input, output, and motor gating.

48 citationstop 3%

humanelectronic health records

𝕏 PostBluesky

NeuroscienceScientific ReportsPeer-reviewedMay 24, 2017

Tracking Real Time Changes in Working Memory Updating and Gating with The Event-Based Eye-Blink Rate

Rachel Rac-Lubashevsky, Heleen A. Slagter, Yoav Kessler

The paper uses event-based eye-blink rate to track real-time changes in working memory updating and gating, linking these processes to striatal dopamine activity.

52 citations

humanimaging

𝕏 PostBluesky