Author

Alexandra M. Razorenova

Skolkovo Institute of Science and TechnologyORCID 0000-0002-3386-6914Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Organism:human· 1

Frequent Co-Authors

Anastasia Yu. NikolaevaiD· 1 shared Andrey O. ProkofyeviD· 1 shared Anna V. ButorinaiD· 1 shared Boris ChernysheviD· 1 shared Dmitry V. DyloviD· 1 shared M. MalovichkoiD· 1 shared Maxim V. FedoroviD· 1 shared Nikita TyuleneviD· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperNeuroscience

Anastasia Yu. NikolaevaORCID

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2 papers

Recent·Most cited

Rapid cortical plasticity induced by active associative learning of novel words in human adults

Alexandra M. Razorenova, Boris Chernyshev, Anastasia Yu. Nikolaeva, Anna V. Butorina, Andrey O. Prokofyev, Nikita Tyulenev, Tatiana A. Stroganova

This study investigates rapid cortical plasticity in human adults during active associative learning of novel words, finding immediate changes in cortical responses to meaningful pseudowords.

Frontiers in Neuroscience · Sep 11, 2020Peer-reviewedNeuroscience

Deep Learning for Non-Invasive Cortical Potential Imaging

Alexandra M. Razorenova, Nikolay B. Yavich, M. Malovichko, Maxim V. Fedorov, Nikolay Koshev, Dmitry V. Dylov

This paper introduces deep learning methods to improve EEG spatial resolution by translating scalp potentials to cortical sources using CNN-based solvers trained on synthetic data.

bioRxiv · Jun 15, 2020 · PreprintNeuroscience