Author

Mohammad Khosravi

Delft University of TechnologyORCID 0000-0002-4873-1115Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 1 Assay:electronic health records· 1 Approach:statistical model· 1

Frequent Co-Authors

David Chavez-HuertaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 24, 2026

Reduced-observable dynamic mode decomposition for identifying theta and beta activity in working-memory EEG

David Chavez-Huerta, Mohammad Khosravi

This paper introduces a reduced-observable dynamic mode decomposition method for analyzing theta and beta EEG activity in working memory tasks, finding correlations between oscillatory power and memory encoding events.

DOI 10.64898/2026.10.20.760227

electronic health recordsstatistical model

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