Author

Connor Delaney

George Mason UniversityPrimary ORCID profile (0000-0002-1215-8118 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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Connor DelaneyiD1 paper · George Mason University

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Cheng LyiD· 1 shared Dean J. KrusienskiiD· 1 shared Richard FosteriD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Cheng LyORCID

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1 paper

Recent·Most cited

Time-series models can predict long periods of human temporal EEG responses to randomly alternating visual stimuli

Richard Foster, Connor Delaney, Dean J. Krusienski, Cheng Ly

The paper uses time-series models to predict human EEG responses to visual stimuli and finds the simplest AR model performs as well as more complex models.

Bulletin of Mathematical Biology · Jan 14, 2026Peer-reviewedNeuroscience