Author

Anuththara Rupasinghe

Princeton UniversityORCID 0000-0003-2143-8709Unclaimed 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:statistical model· 2 Assay:electronic health records· 1 Assay:imaging· 1 Organism:mouse· 1

Frequent Co-Authors

Adam S. CharlesiD· 1 shared Behtash BabadiiD· 1 shared Ji LiuiD· 1 shared Jonathan W. PillowiD· 1 shared Nikolas A. FrancisiD· 1 shared Patrick O. KanoldiD· 1 shared Zac BoweniD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

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7 top collaborators · 11 mutual co-author links

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1 shared paperNeuroscience

Adam S. CharlesORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintJul 23, 2025

Continuous partitioning of neuronal variability

Anuththara Rupasinghe, Adam S. Charles, Jonathan W. Pillow

This paper introduces a continuous model to partition neural variability into stimulus-driven and stochastic components, finding that gain processes follow an exponentiated power law across visual cortical areas.

2 citations

electronic health recordsstatistical model

𝕏 PostBluesky

NeuroscienceeLifePeer-reviewedJun 28, 2021

Direct Extraction of Signal and Noise Correlations from Two-Photon Calcium Imaging of Ensemble Neuronal Activity

Anuththara Rupasinghe, Nikolas A. Francis, Ji Liu…·Behtash Babadi

This work proposes a method to directly estimate signal and noise correlations from two-photon calcium imaging data without spike deconvolution, validated on simulated and mouse auditory cortex data.

32 citations

𝕏 PostBluesky