The aim of this work is to compare different machine learning algorithms in an attempt to find the best one for classifying EEG data. In…
Article overview: Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream from Ilya Kuzovkin The article presents the…
“Introduction to Computational Neuroscience” is the flagship course offered by Computational Neuroscience Lab at the Institute of Computer Science of University of Tartu. From the…
Right after ICML 2015 I got to visit Computational Neuroscience meeting in Prague. Impressed by the advances in deep learning and AI field in general…
This thesis describes an SSVEP-based BCI implemented as a practical part of this work. One possible usage of a BCI that efficiently implements a communication…
Recently I’ve been working with the BioSemi ActiveTwo EEG device. This post gives an example of how to read the raw data into Python using…
The main reason I was eager to attend this conference is my personal confusion about the future of BCI research. On one hand we have…
Here I am, at Göttingen, looking at all different kinds of neuroscientists and their research. In this post I will make notes of ideas and…
First lecture of a short course Machine Learning on Neuroimaging Data presented at AACIMP 2014 This is two-lecture course about neuroimaing techniques used in Brain-Computer…
Thesis supervision | Stepan Bolotnikov: Fuzzy Classification Algorithms in Brain-Computer Interfaces
In this thesis, the usage of fuzzy classification algorithms in brain-computer in- terfaces (BCI) based on electroencephalography (EEG) is researched. We review the existing literature…
Soft Introduction to Brain-Computer Interfaces and Machine Learning from Ilya Kuzovkin Set of slides presented at the Spring School organized by the Estonian Association of…
Article Overview "Reach and grasp by people with tetraplegia using a neurally controlled robotic arm" from Ilya Kuzovkin This presentation is article overview given at…