Author

Gurgen A. Soghoyan

National Research University Higher School of EconomicsORCID 0000-0002-0034-0326Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 3

Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Organism:rat· 1

Frequent Co-Authors

Olga MartynovaiD· 2 shared Olga SysoevaiD· 2 shared Alexander Ledovsky· 1 shared Alexei E. OssadtchiiD· 1 shared Anastasia K. NeklyudovaiD· 1 shared Anna B. RebreikinaiD· 1 shared Daria F. KleevaiD· 1 shared Galina V. PortnovaiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

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10 top collaborators · 20 mutual co-author links

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2 shared papersNeuroscience

Olga MartynovaORCID

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3 papers

Recent·Most cited

NeuroscienceLanguage Cognition and NeurosciencePeer-reviewedApr 18, 2025

Rapid Semantic Processing: An MEG Study of Narrative Text Reading

Anastasia K. Neklyudova, Gurgen A. Soghoyan, Olga Martynova, Olga Sysoeva

This study uses MEG to investigate rapid semantic processing during narrative text reading, finding early ERP differences and distinct brain response clusters related to semantic dissimilarity.

3 citationstop 5%

humanelectronic health records

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NeuroscienceJournal of Neural EngineeringPeer-reviewedApr 19, 2022

Fast parametric curve matching (FPCM) for automatic spike detection

Daria F. Kleeva, Gurgen A. Soghoyan, Ilia G. Komoltsev…·Alexei E. Ossadtchi

The paper introduces FPCM, a novel spike detection method for EEG/MEG data, showing robustness in low SNR conditions and reliable detection of interictal events.

4 citations

humanrat

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NeuroscienceFrontiers in NeuroinformaticsPeer-reviewedDec 2, 2021

A Toolbox and Crowdsourcing Platform for Automatic Labeling of Independent Components in Electroencephalography (ALICE)

Gurgen A. Soghoyan, Alexander Ledovsky, Maxim Nekrashevich…·Maxim Sharaev

The paper introduces ALICE, a toolbox and crowdsourcing platform for automatic labeling of EEG independent components using machine learning and expert input.

32 citations

electronic health recordsmachine learning (classical)

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