Author

Maxim Komarov

University of California San Diego

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 4

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:electronic health records· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Maxim BazhenoviD· 4 shared Giri P. KrishnaniD· 3 shared Eric HalgreniD· 2 shared Atul MalhotraiD· 1 shared Burke Q. RoseniD· 1 shared Dániel FabóiD· 1 shared Frank L. PowelliD· 1 shared Irma RukhadzeiD· 1 shared

Activity by Year

2018-2019 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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4 shared papersNeuroscience

Maxim BazhenovORCID

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4 papers

Recent·Most cited

Selective Recruitment of Cortical Neurons by Electrical Stimulation

Maxim Komarov, Paola Malerba, Ryan Golden, Paul L. Nunez, Eric Halgren, Maxim Bazhenov

This paper develops a model to predict which cortical neurons are activated by electrical stimulation, finding selective activation across cell types, layers, and stimulation parameters.

PLoS Computational Biology · Aug 26, 2019Peer-reviewedNeuroscience

Simulating human sleep spindle MEG and EEG from ion channel and circuit level dynamics

Burke Q. Rosen, Giri P. Krishnan, Pavel Šanda, Maxim Komarov, Terrence J. Sejnowski A B, Nikolai F. Rulkov, István Ulbert, Lóránd Erőss, Joseph R. Madsen, Orrin Devinsky, Werner Doyle, Dániel Fabó, Sydney S. Cash, Maxim Bazhenov, Eric Halgren

The paper simulates human sleep spindle MEG and EEG by integrating ion channel dynamics and circuit-level neural activity across multiple scales.

Journal of Neuroscience Methods · Oct 6, 2018Peer-reviewedNeuroscience

Differential roles of sleep spindles and sleep slow oscillations in memory consolidation

Yina Wei, Giri P. Krishnan, Maxim Komarov, Maxim Bazhenov

This study shows sleep spindles and slow oscillations each play distinct roles in memory consolidation, with spindles enabling independent memory replay and slow oscillations favoring strong memories, as observed in natural sleep.

PLoS Computational Biology · Jul 9, 2018Peer-reviewedNeuroscience

Computational model of brainstem circuit for state dependent control of hypoglossal motoneurons

Mohsen Naji, Maxim Komarov, Giri P. Krishnan, Atul Malhotra, Frank L. Powell, Irma Rukhadze, Victor B. Fenik, Maxim Bazhenov

The paper develops a computational model of brainstem circuits to study how noradrenergic and serotonergic drives affect hypoglossal motoneurons during REM sleep, aligning with in vivo data.

Journal of Neurophysiology · Apr 4, 2018Peer-reviewedNeuroscience