Ksenia Volkova
- Junior Research Fellow:Institute for Cognitive Neuroscience / Centre for Bioelectric Interfaces
- Visiting Lecturer:Faculty of Computer Science / Big Data and Information Retrieval School
- Ksenia Volkova has been at HSE University since 2015.
Education
- 2015
Master's
Moscow Institute of Physics and Technology - 2013
Bachelor's
Moscow Institute of Physics and Technology
Courses (2020/2021)
- Digital Literacy (Bachelor’s programme; Faculty of World Economy and International Affairs; 1 year, 1, 2 module)Rus
- Python for Data Extraction and Data Mining (Bachelor’s programme; Faculty of Social Sciences; 1 year, 3, 4 module)Rus
- Past Courses
Courses (2019/2020)
- Brain and Psyche (Minor; Faculty of Social Sciences; 3, 4 module)Rus
- Digital Literacy (Bachelor’s programme; School of Foreign Languages; 1 year, 3, 4 module)Rus
Courses (2018/2019)
- Brain and Psyche (Minor; Faculty of Social Sciences; 3, 4 module)Rus
- Practical Training: Data Analysis in Matlab (Bachelor’s programme; Faculty of Social Sciences; 3 year, 1, 2 module)Rus
Publications8
- Chapter Volkova K., Petrosyan A., Дубышкин И., Ossadtchi A. Decoding movement time-course from ecog using deep learning and implications for bidirectional brain-computer interfacing, in: Актуальные проблемы психологической науки: Сборник статей и выступлений международной научной конференции / Под общ. ред.: Е. С. Горбунова. Научно-инновационный центр, 2019. doi doi
- Article Синкин М. В., Осадчий А. Е., Лебедев М. А., Волкова К. В., Кондратова М. С., Трифонов И. С., Крылов В. В. Пассивное речевое картирование высокой точности во время операций по поводу глиом доминантного полушария // Нейрохирургия. 2019. Т. 21. № 3. С. 37-43. doi (in press)
- Article Bobrova E., Reshetnikova V., Volkova K.V., Frolov A. Effects of Emotional Stability on Success in Learning to Control a Brain–Computer Interface / Пер. с рус. // Neuroscience and Behavioral Physiology. 2018. Vol. 48. No. 9. P. 1114-1119. doi
- Article Dagaev N., Volkova K., Ossadtchi A. Latent variable method for automatic adaptation to background states in motor imagery BCI // Journal of Neural Engineering. 2018. Vol. 15. No. 1. P. 1-14. doi
- Article Smetanin N., Volkova K., Zabodaev S., Lebedev M., Ossadtchi A. NFBLab - a versatile software for neurofeedback and brain-computer interface research // Frontiers in Neuroinformatics. 2018. Vol. 12. No. 100. P. 1-18. doi
- Article Боброва Е. В., Решетникова В., Волкова К. В., Фролов А. А. Влияние эмоциональной устойчивости на успешность обучения управлению системой "интерфейс мозг-компьютер" // Журнал высшей нервной деятельности им. И.П. Павлова. 2017. Т. 67. № 4. С. 485-492. doi (in press)
- Article Волкова К. В., Дагаев Н. И., Киселёв А., Касумов В., Александров М., Осадчий А. Е. Интерфейс мозг-компьютер: опыт построения, использования и возможные пути повышения рабочих характеристик // Журнал высшей нервной деятельности им. И.П. Павлова. 2017. Т. 67. № 4. С. 504-520.
- Article Волкова К. В., Дагаев Н. И., Киселев А., Касумов В., Александров М. В., Осадчий А. Е. Интерфейс мозг-компьютер: опыт построения, использования и возможные пути повышения рабочих характеристик. // Журнал высшей нервной деятельности им. И.П. Павлова. 2017. Т. 67. № 4. С. 504-520.
CBI is featured on Russia-24 channel
Russia-24 aired a story in which Alex Ossadtchi, Ksenia Volkova, Nickolay Smetanin, Alexander Belyayev and Alexandra Kuznetsova talk about the CBI and its research: an exoskeleton-controlling neurointerface, myographic interface to control a hand avatar and the main project to develop an invasive neurointerface to be used in clinical settings.
Successful ECoG decoding in real time!
Today marks the successful completion of the first year of our research project funded by Megagrant #14.641.31.0003 "Bi-directional ECoG BCIs for control, stimulation and communication" (lead scientist: Mikhail Lebedev).
Our clinical studies
Megagrant #14.641.31.0000. Lead scientist: Mikhail Lebedev. Invasive neural interfaces involve the analysis of electrocortigocraphical (ECoG) data recorded from subdurally implanted electrode arrays. This can be done in patients who require implanting an electrode array for medical reasons, therefore ECoG recording sessions are conducted exclusively in clinical settings. Our Center collaborates with two clinics: Clinical Medical Center of the Yevdokimov Moscow State Medico-Dental University and the Polenov Russian Research Institute of Neurosurgery.
We won second place at Neurothlon!
The CBI team won second place at the “Neurothlon” International Competition of Assistive Technologies. Valentina Bulgakova, Nikolay Smetanin and Ignat Dubyshkin represented our team in Samara. Ksenia Volkova, Julia Nurislamova and Anastasia Belinskaya participated as algorithm developers. Moreover, this victory was possible thanks to our pilots Artiom Vorobiov and Sergei Anashkov.
