Ivan Zubarev
Postdoctoral Researcher
Postdoctoral Researcher
T314 Dept. Neuroscience and Biomedical Engineering
Full researcher profile
https://research.aalto.fi/...
Email
[email protected]
Phone number
+358505121760
Publications
Pipeline for Automatic Brain Stimulation with Real-Time Machine-Learning-Based Decoding of EEG Responses
Matilda Makkonen, Olli-Pekka Kahilakoski, Kyösti Alkio, Ivan Zubarev, Risto J. Ilmoniemi, Tuomas P. Mutanen, Pantelis Lioumis
2024
Robust discrimination of multiple naturalistic same-hand movements from MEG signals with convolutional neural networks
Ivan Zubarev, Mila Nurminen, Lauri Parkkonen
2024
DELMEP : a deep learning algorithm for automated annotation of motor evoked potential latencies
Diego Milardovich, Victor H. Souza, Ivan Zubarev, Sergei Tugin, Jaakko O. Nieminen, Claudia Bigoni, Friedhelm C. Hummel, Juuso T. Korhonen, Dogu B. Aydogan, Pantelis Lioumis, Nima Taherinejad, Tibor Grasser, Risto J. Ilmoniemi
2023
MNEflow: Neural networks for EEG/MEG decoding and interpretation
Ivan Zubarev, Gavriela Vranou, Lauri Parkkonen
2022
MEG signatures of long-term effects of agreement and disagreement with the majority
A. Gorin, V. Klucharev, A. Ossadtchi, I. Zubarev, V. Moiseeva, A. Shestakova
2021
Electrophysiological Properties of Neurons
Elina Nagaeva, Ivan Zubarev, Esa R. Korpi
2021
MEG-Based Detection of Voluntary Eye Fixations Used to Control a Computer
Anastasia O. Ovchinnikova, Anatoly N. Vasilyev, Ivan P. Zubarev, Bogdan L. Kozyrskiy, Sergei L. Shishkin
2021
Developing machine-learning methods for the analysis of electromagnetic brain activity
Ivan Zubarev
2021
Heterogeneous somatostatin-expressing neuron population in mouse ventral tegmental area
Elina Nagaeva, Ivan Zubarev, Carolina Bengtsson Gonzales, Mikko Forss, Kasra Nikouei, Elena de Miguel, Lauri Elsilä, Anni Maija Linden, Jens Hjerling-Leffler, George J. Augustine, Esa R. Korpi
2020
Adaptive neural network classifier for decoding MEG signals
Ivan Zubarev, Rasmus Zetter, Hanna Leena Halme, Lauri Parkkonen
2019