Robust and highly adaptable brain-computer interface with convolutional net architecture based on a generative model of neuromagnetic measurements. - Ivan Zubarev; Rasmus Zetter; Hanna-Leena Halme; Lauri Parkkonen (CoRR, 2018)

Adaptive neural network classifier for decoding MEG signals. - Ivan Zubarev; Rasmus Zetter; Hanna-Leena Halme; Lauri Parkkonen (NeuroImage, 2019)

Developing machine-learning methods for the analysis of electromagnetic brain activity. - Ivan Zubarev (2021)

MNEflow: Neural networks for EEG/MEG decoding and interpretation. - Ivan Zubarev; Gavriela Vranou; Lauri Parkkonen (SoftwareX, 2022)