Skip to content


Data Science, Machine Learning & AI
for Neurotechnology and Neuroscience


The publication list showcases the scholarly work of Neurotech Lab team members (in bold), while in academia or other companies and in collaboration with external co-authors.

Ilya Kuzovkin, Juan R. Vidal, Marcela Perrone-Bertolotti, Philippe Kahane, Sylvain Rheims, Jaan Aru, Jean-Philippe Lachaux, Raul Vicente
Identifying task-relevant spectral signatures of perceptual categorization in the human cortex
Nature Scientific Reports, 2020
[ ]

Ilya Kuzovkin
Understanding Information Processing in Human Brain by Interpreting Machine Learning Models
PhD, University of Tartu, 2020
[ ]

Stephane P. Doyen, Ilya Kuzovkin, Peter W. Rudder, Michael E. Sughrue
Brain Data Anomaly Detection Using Tensor Processing
WO US patent (pending), assignee: Omniscient Neurotechnology Pty Limited, 2022

Ilya Kuzovkin, Konstantin Tretyakov, Andero Uusberg, Raul Vicente
Mental state space visualization for interactive modeling of personalized BCI control strategies
Journal of Neural Engineering, 2020
[ JNE ]

Himanshu Sahni, Toby Buckley, Pieter Abbeel, Ilya Kuzovkin
Addressing sample complexity in visual tasks using HER and hallucinatory GANs
Advances in Neural Information Processing Systems, 2019
[ NeurIPS ]

Ilya Kuzovkin, Raul Vicente, Mathilde Petton, Jean-Philippe Lachaux, Monica Baciu, Philippe Kahane, Sylvain Rheims, Juan R. Vidal, Jaan Aru
Activations of deep convolutional neural networks are aligned with gamma band activity of human visual cortex
Nature Communications Biology, 2018
[ ]

Anti Ingel, Ilya Kuzovkin, Raul Vicente
Direct information transfer rate optimisation for SSVEP-based BCI
Journal of Neural Engineering, 2018
[ JNE ]

Anna Leontjeva, Ilya Kuzovkin
Combining static and dynamic features for multivariate sequence classification
IEEE International Conference on Data Science and Advanced Analytics, 2016
[ IEEE ]

Send us a note