Neural Data Science
I’m teaching together with Arnau Manasanch an intensive programming course for biologists and psychologists at the Cortical Networks Lab, IDIBAPS. It’s a course intended for scientists with no (or limited) previous experience in programming, focusing on simple analysis and visualizations Read More
As a part of the XIII Summer School in Statistics UPC-UB we are organizing, together with Matthieu Gilson, Adrià Tauste and Gorka Zamora, a Hands-on course on neural data science. When: July 1st to 5th from 3:00 PM to 6:00 Read More
A comparison of different method to estimate large scale dynamic functional brain connectivity from BOLD fMRI signal. The comparison is based on the ability to decode (using machine learning algorithms) the cognitive task participants were involved in from the estimated Read More
Yesterday I gave a talk at pyBCN about time series analysis and machine learning tools to analyze brain connectivity . Here is the python notebook (and all the code) I used for the presentation: https://bitbucket.org/ainsabato/pybcn2019/
Bayesian estimation for large scale multivariate Ornstein-Uhlenbeck model of brain connectivity This is the title of my new preprint available at: https://arxiv.org/abs/1805.10050
As a part of the XII Summer School in Statistics UPC-UB we are organizing, together with Matthieu Gilson, Adrià Tauste and Gorka Zamora, a summer course to introduce stats master students (or anybody interested) to data analysis in neuroscience. The course Read More
We are organizing, together with Matthieu Gilson and Adrià Tauste, a one-day workshop about methods to estimate connectivity from neural data (fMRI, EEG, etc.). The course will be a satellite of BARCCSYN 2018 conference and is organized in the framework Read More