We're sorry that you missed it, thank you for your interest. We'll see you maybe during other events!
#101Nights emanated from Dream Sessions. It confront the subjective dreams perception of the artist Nathalie Regard with an objective, quantitative analysis, through brain recordings, seeking to establish a bridge between these two dimensions.
A set of functions on notebooks to perform dynamic connectivity analysis using python / sklearn / nilearn / bct.
We will cover recent data-driven methods to measure and/or improve the capacity of individual fingerprinting from functional connectivity data (Finn et al., Nature Neuroscience 2015, Amico and Goñi, Scientific Reports (in press) 2018).
In this project, we will apply (1) deep learning; (2) trend indicators used for trading in the stock exchange and currency markets, in order to predict the activity in the resting state fMRI and MEG datasets.
Predict age, sex, diagnosis or scores to cognitive tests using only multi-layer networks from open datasets.
Waiting for your proposals! Click here to propose your own.