## Notes on NIPS 2016

Neural Information Processing Systems (NIPS) conference is a place where computational neuroscience meets machine learning. Due to the rise of deep learning …

Brain-Computer Interfaces, Machine Learning, Neuroscience

Neural Information Processing Systems (NIPS) conference is a place where computational neuroscience meets machine learning. Due to the rise of deep learning …

So you’ve decided to throw a Deep Neural Network at your data. Great! You try a basic setup and it kinda works, …

Day 1 Tutorial: Causal Inference for Observational Studies The topic of causal inference was strongly presented this year. The reason for that …

I had two personal goals for attending BCI Meeting 2016: Present my poster, gather feedback and look for contacts with whom the …

Mastering the game of Go with deep neural networks and tree search (article overview) from Ilya Kuzovkin A talk given at the …

Paper overview: "Deep Residual Learning for Image Recognition" from Ilya Kuzovkin A talk given at the Computational Neuroscience Seminar @ University of …

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

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

Article overview: Deep Neural Networks Reveal a Gradient in the Complexity of Neural Representations across the Ventral Stream from Ilya Kuzovkin The …

Caffe is a framework for deep learning. In a deep learning net it is quite hard to find good parameters (learning rate, …

Right after ICML 2015 I got to visit Computational Neuroscience meeting in Prague. Impressed by the advances in deep learning and AI …

Recently I’ve been working with the BioSemi ActiveTwo EEG device. This post gives an example of how to read the raw data …