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Address: 3 Krivokolenny Pereulok, room 3-316
ORCID: 0000-0002-6040-2154
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A. Ossadtchi
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Daria Kleeva

  • Daria Kleeva has been at HSE University since 2020.


The duties of the research assistant include working on collective projects, participating in regular scientific seminars, conferences, workshops and summer schools organized by the Center, as well as performing administrative duties.

Young Faculty Support Program (Group of Young Academic Professionals)
Category "New Researchers" (2022)

Postgraduate Studies

1st year of study
Approved topic of thesis: Estimation of functional connectivity from MEG/EEG data and anatomical priors
Academic Supervisor: Ossadtchi, Alexey

Courses (2021/2022)



  • 2019
    3rd Human Brain Project Student Conference (Гент). Presentation: Postdictive properties of apparent motion perception: an EEG study
  • XXVI Международная конференция студентов, аспирантов и молодых ученых "Ломоносов 2019 (Москва). Presentation: ЭЭГ-характеристики восприятия иллюзорного движения
  • Международная студенческая конференция «VIII Студенческие Смольные чтения» (Санкт-Петербург). Presentation: Электрофизиологические механизмы формирования инсайта в условиях эмоциональной подсказки
  • 2018
    2nd Human Brain Project Student Conference (Любляна). Presentation: Correlation between EEG entropy and psychological indicators characterizing the stabilization and destabilization of mental processes
  • Четырнадцатый международный междисциплинарный конгресс "Нейронаука для медицины и психологии" (Судак, Крым). Presentation: Взаимосвязь между энтропией ЭЭГ и психологическими признаками депрессии и тревожности
  • Всероссийская молодежная конференция с международным участием «Современные аспекты интегративной физиологии» (Санкт-Петербург). Presentation: Иллюзии восприятия и принципы интегративной нейрофизиологии
  • Международная студенческая конференция «VII Студенческие Смольные чтения» (Санкт-Петербург). Presentation: Сравнение электрофизиологических показателей при восприятии реального и иллюзорного движения и смены цвета
  • 2017
    Международная студенческая конференция «VI Студенческие Смольные чтения» (Санкт-Петербург). Presentation: Энтропия биопотенциалов коры головного мозга как фактор воздействия на психологические характеристики индивида


- Participant of the RFBR funded project № 19-313-51039 "Neurophysiological correlates of learning in children with Rett Syndrome: Event-related potential study" (2019-2021);

- Participant of the RFBR funded project № 19-07-00337 "Complex approach to the study of the effect of meditation on the quantitative characteristics of electroencephalograms (EEG) using methods and computational technologies of nonlinear dynamics, neuroinformatics, and algebraic topology" (2018-2020);

- Participant of the SPbU funded project "The development of methods for applying modern neural network architectures for calculating Lyapunov exponents from various time series" (2018-2019).

Employment history

Research experience:

- Laboratory of Electroencephalography (Saint Petersburg State University, department of biology);

- Laboratory of Translational Developmental Science (Saint Petersburg State University, department of psychology).

Timetable for today

Full timetable

Early-Career HSE Researchers to Attend Neuroscience School

Two of the winners, Konstantin Sorokin, doctoral student and visiting lecturer of the HSE Faculty of Computer Science and research assistant at the HSE International Laboratory of Algebraic Topology and its Applications, and Daria Kleeva, doctoral student of the HSE Faculty of Social Sciences and research assistant at the HSE Institute of Cognitive Neuroscience Centre for Bioelectric Interfaces, spoke to the HSE News Service about why attending the School matters so much for them.

Russian Scientists Create Biomimetic Algorithm to Find Epileptogenic Areas of the Brain

Researchers from the HSE University Centre for Bioelectric Interfaces have designed a new method for detecting diagnostic markers of epilepsy, called interictal spikes, using EEG and MEG. Capable of accounting for various errors and artefacts, this method constitutes a valuable addition to the arsenal of means for automatic analysis of electrophysiological recordings in epilepsy patients, especially when the data are noisy. Precise localisation of epileptogenic cortical structures can enhance the effectiveness of neurosurgical interventions. The study was published in the Journal of Neural Engineering.