In this presentation we use Marr’s three levels of analysis to approach the question of how similar or different are the brain and the machines….

Conference talk based on the research paper byIlya Kuzovkin, Raul Vicente, Mathilde Petton, Jean-Philippe Lachaux, Monica Baciu, Philippe Kahane, Sylvain Rheims, Juan R. Vidal, Jaan…

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…

Deep Learning: Theory, History, State of the Art & Practical Tools from Ilya Kuzovkin An introductory talk about deep learning given at Machine Learning Estonia…

Article overview: Unsupervised Learning of Visual Structure Using Predictive Generative Networks from Ilya Kuzovkin This set of slides goes over the recent article that tries…

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…

Year 2014 passed under the huge Deep Learning sign. At the last seminar of computational neuroscience I’ve presented a very recent article, which looks into…

Seminar overview of the third article produced by Google DeepMind. This one again contains conceptual novelties: adding external memory to machine learning pipeline (using an…

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…

Set of slides presented at the Spring School organized by the Estonian Association of Psychology Students. Download PDF

The presentation is given during the Computer Graphics seminar at the University of Tartu. It is an introductory overview of the GPGPU idea in general…