EEG source localization is hard. Current state of art is beamforming. We took a simultaneous EEG-fMRI dataset, used fMRI to find true source and measured…
Low reliability is a huge problem for BCI, since they will not be widely trusted and used while the prediction accuracy is low. The existing…
In this thesis, a classification method for SSVEP-based BCI is proposed. The classification method is based on simple comparisons of extracted feature values and thresholds…
Download PDFs:https://ilyakuzovkin.com/wp-content/uploads/2017/06/Breaking-Substitution-Cipher-Using-Genetic-Algorithm-Poster.pdfhttps://ilyakuzovkin.com/wp-content/uploads/2017/06/Breaking-Substitution-Cipher-Using-Genetic-Algorithm-Article-Review.pdf
Neural Information Processing Systems (NIPS) conference is a place where computational neuroscience meets machine learning. Due to the rise of deep learning (DL) in the…
This is a cover story for the research paper by Anna Leontjeva and Ilya KuzovkinCombining Static and Dynamic Features for Multivariate Sequence Classification2016 IEEE International…
So you’ve decided to throw a Deep Neural Network at your data. Great! You try a basic setup and it kinda works, but you are…
Day 1 Tutorial: Causal Inference for Observational Studies The topic of causal inference was strongly presented this year. The reason for that was, however, unclear…
I had two personal goals for attending BCI Meeting 2016: Present my poster, gather feedback and look for contacts with whom the idea presented on…
Mastering the game of Go with deep neural networks and tree search (article overview) from Ilya Kuzovkin A talk given at the Reinforcement Learning Seminar…
Paper overview: “Deep Residual Learning for Image Recognition” from Ilya Kuzovkin A talk given at the Computational Neuroscience Seminar @ University of Tartu. We discuss…