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Artur Petrosyan

  • Artur Petrosyan has been at HSE University since 2018.


  • 2018

    HSE University

  • 2016

    Bachelor's in Economics
    HSE University

Postgraduate Studies

3rd year of study
Approved topic of thesis: Modern methods of machine learning in the interpretation of electrical activity of the brain
Academic Supervisor: Ossadtchi, Alexey

Courses (2020/2021)

Courses (2019/2020)

Courses (2018/2019)

Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1, 2 module)Rus

Courses (2017/2018)


Timetable for today

Full timetable

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.