Author

Zeinab Tajik Mansouri

University of ConnecticutORCID 0009-0003-9701-2621Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:mouse· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Organism:human· 1 Organism:rat· 1

Frequent Co-Authors

Ian H. StevensoniD· 2 shared Ganchao Wei· 1 shared James P Dion Jr.iD· 1 shared Monty A. Escabı́iD· 1 shared Xiao‐Jing WangiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

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5 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

Ian H. StevensonORCID

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2 papers

Recent·Most cited

NeuroscienceJournal of Neural EngineeringPeer-reviewedApr 1, 2026

Parametric models for predicting nonstationary spike-spike correlations with local field potentials

Zeinab Tajik Mansouri, James P Dion Jr., Monty A. Escabı́, Ian H Stevenson

The paper develops parametric models to predict nonstationary spike-spike correlations using LFP features and applies them to track changes in correlations over time in mouse hippocampus and visual cortex data.

DOI 10.1088/1741-2552/ae5ea5

mouseelectronic health records

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NeuroscienceJournal of NeurosciencePeer-reviewedMar 27, 2024

Calibrating Bayesian decoders of neural spiking activity

Ganchao Wei, Zeinab Tajik Mansouri, Xiao‐Jing Wang, Ian H. Stevenson

This paper identifies overconfidence in Bayesian decoders of neural spiking activity and proposes methods to correct miscalibration in various experimental settings.

4 citations

humanmouse

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