Ivan Zubarev
Postdoctoral Researcher
Postdoctoral Researcher
T314 Dept. Neuroscience and Biomedical Engineering
Postdoctoral Researcher
Department of Neuroscience and Biomedical Engineering
Full researcher profile
https://research.aalto.fi/...
E-post
[email protected]
Telefonnummer
+358505121760
Publikationer
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
Imaging Neuroscience
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
Scientific Reports
MNEflow: Neural networks for EEG/MEG decoding and interpretation
Ivan Zubarev, Gavriela Vranou, Lauri Parkkonen
2022
SoftwareX
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
Scientific Reports
Electrophysiological Properties of Neurons
Elina Nagaeva, Ivan Zubarev, Esa R. Korpi
2021
Bio-protocol
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
Frontiers in Neuroscience
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
eLife
Adaptive neural network classifier for decoding MEG signals
Ivan Zubarev, Rasmus Zetter, Hanna Leena Halme, Lauri Parkkonen
2019
NeuroImage
Evidence for a general performance-monitoring system in the human brain
Ivan Zubarev, Lauri Parkkonen
2018
Human Brain Mapping
MEG signatures of a perceived match or mismatch between individual and group opinions
Ivan Zubarev, Vasily Klucharev, Alexei Ossadtchi, Victoria Moiseeva, Anna Shestakova
2017
Frontiers in Neuroscience