Artur Petrosyan
- Research Assistant:Institute of Cognitive Neuroscience / Centre for Bioelectric Interfaces
- Doctoral Student:Faculty of Computer Science / School of Data Analysis and Artificial Intelligence
- Artur Petrosyan has been at HSE University since 2018.
Postgraduate Studies
2nd 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 (2019/2020)
- Data Science (Bachelor’s programme; Faculty of Economic Sciences; 2 year, 3, 4 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; 4 year, 1, 2 module)Rus
- Machine Learning (Bachelor’s programme; Faculty of Economic Sciences; 3 year, 1, 2 module)Rus
- Past Courses
Courses (2017/2018)
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.
