Author

Mónika Józsa

University of CambridgeORCID 0000-0001-7665-3428Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:cell type annotation· 1 Assay:electronic health records· 1 Organism:mouse· 1

Frequent Co-Authors

Timothy O’LearyiD· 2 shared Henning SprekeleriD· 1 shared Kristine HeineyiD· 1 shared Michael E. RuleiD· 1 shared Rodolphe J. SepulchreiD· 1 shared Stefano NicheleiD· 1 shared Tihol Ivanov DoncheviD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 13 mutual co-author links

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2 shared papersNeuroscience

Timothy O’LearyORCID

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2 papers

Recent·Most cited

NeurosciencePLoS Computational BiologyPeer-reviewedFeb 17, 2026

Information theoretic measures of neural and behavioural coupling predict representational drift

Kristine Heiney, Mónika Józsa, Michael E. Rule…·Timothy O’Leary

The paper uses information theory to analyze neural population dynamics and finds that stable neurons show higher redundancy and synergy in pairwise interactions with other neurons.

DOI 10.1371/journal.pcbi.1013130

mouseelectronic health records

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Systems BiologyProceedings of the National Academy of SciencesPeer-reviewedMar 29, 2022

Autoregulation of switching behavior by cellular compartment size

Mónika Józsa, Tihol Ivanov Donchev, Rodolphe J. Sepulchre, Timothy O’Leary

The paper proposes a self-regulating signaling motif that enables reliable switching in small cellular compartments by exploiting stochastic chemical reactions and inhibitory loops.

3 citations

statistical model

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