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Regular version of the site
Language Proficiency
English
Contacts
Phone:
77295
Address: 13 Myasnitskaya Ulitsa, Building 4, room 405
Timetable
Office hours
18:00
Supervisors
A. Ossadtchi
V. V. Podolskii
O. Podolskaya
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Artur Petrosyan

  • Artur Petrosyan has been at HSE University since 2018.

Education

  • 2018

    Master's
    HSE University

  • 2016

    Bachelor's in Economics
    HSE University

Professional Interests

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)

Publications6


Conferences

  • 2020
    BICA*AI 2020. Presentation: Linear systems theoretic approach to interpretation of spatial and temporal weights incompact CNNs: Monte-Carlo study
  • Нейроинформатика 2020. Presentation: Decoding neural signals with a compact and interpretable convolutional neural network
  • BCI: Science&Practice. Samara 2020. Presentation: Decoding neural signals with a compact and interpretable convolutional neural network

  • BICA*AI 2020. Presentation: Linear systems theoretic approach to interpretation of spatial and temporal weights incompact CNNs: Monte-Carlo study

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.