Yulia M. Nurislamova

Yulia M. Nurislamova

Doktorandin
Forschungsinteressen: • signal processing • oscillatory dynamics • functional connectivity • network analysis

 

Akademischer Werdegang

seit 2021 Doktorandin, Max Planck School of Cognition, Leipzig
                  Promotionsarbeit am Ernst Strüngmann Institute for Neuroscience, Frankfurt und am Max-Planck-Institut für Kognitions- und Neurowissenschaften, Leipzig
                  Betreuer: Rosanne Rademaker und Christian Doeller
                  Lab-Rotationen in der Orientierungsphase: Jürgen Jost, Pascal Fries and Rosanne Rademaker

2021         Master of Psychology, Higher School of Economics, Moscow, Russland

2019         Bachelor in Psychology, Higher School of Economics, Moscow, Russland

 

Forschungserfahrung

2018—2021  Junior Research Fellow, Centre for Bioelectric Interfaces (Prof. Alexey Ossadtchi), Institute for Cognitive Neuroscience, HSE University, Moskau, Russland

2016—2019  Research assistance, Cognitive Psychophysiology Laboratory (Prof. Vsevolod L. Chernyshev), School of Psychology, Faculty of Social Sciences, HSE University, Moskau, Russland

 

Lehre

2020–2021 Teaching assistance, School of Psychology, Faculty of Social Sciences, HSE University, Moskau, Russland

 

Publikationen

Kuznetsova, A., Nurislamova, Y., & Ossadtchi, A. (2021). Modified covariance beamformer for solving MEG inverse problem in the environment with correlated sources. NeuroImage, 228, 117677. https://doi.org/10.1016/j.neuroimage.2020.117677

Nurislamova, Y. M., Novikov, N. A., Zhozhikashvili, N. A., & Chernyshev, B. V. (2019). Enhanced theta-band coherence between midfrontal and posterior parietal areas reflects post-feedback adjustments in the state of outcome uncertainty. Frontiers in Integrative Neuroscience, 13, 14. https://doi.org/10.3389/fnint.2019.00014

Novikov, N. A., Nurislamova, Y. M., Zhozhikashvili, N. A., Kalenkovich, E. E., Lapina, A. A., & Chernyshev, B. V. (2017). Slow and fast responses: Two mechanisms of trial outcome processing revealed by EEG oscillations. Frontiers in Human Neuroscience, 11, 218. https://doi.org/10.3389/fnhum.2017.00218

 

Yulia bei Google Scholar

 

Foto: Anja Schneider

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