Author

Maciej Koch-Janusz

University of ZurichORCID 0000-0002-2903-5202Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Biophysics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:mouse· 1 Approach:statistical model· 1

Frequent Co-Authors

Adam G. KlineiD· 1 shared Aleksandra M. WalczakiD· 1 shared Daniel S. SearaiD· 1 shared Matthew S. SchmittiD· 1 shared Michael J. RustiD· 1 shared Michel Fruchart· 1 shared Stephanie E. PalmeriD· 1 shared Thierry MoraiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 16 mutual co-author links

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1 shared paperNeuroscience

Adam G. KlineORCID

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2 papers

Recent·Most cited

Coarse-graining reveals collective predictive information in a sensory population

Adam G. Kline, Maciej Koch-Janusz, Aleksandra M. Walczak, Thierry Mora, Stephanie E. Palmer

The paper identifies collective variables in retinal ganglion cells that best predict future neural activity using an information bottleneck method.

bioRxiv · Oct 18, 2025 · PreprintNeuroscience

Information theory for data-driven model reduction in physics and biology

Matthew S. Schmitt, Maciej Koch-Janusz, Michel Fruchart, Daniel S. Seara, Michael J. Rust, Vincenzo Vitelli

This paper develops an information-theoretic framework for model reduction in physics and biology, identifying relevant variables that predict future dynamics and demonstrating its application to atmospheric flows and cyanobacteria colonies.

bioRxiv · Apr 19, 2024 · PreprintBiophysics