#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.
Spatio-temporal dynamics of brain network connectivity
A set of functions on notebooks to perform dynamic connectivity analysis using python / sklearn / nilearn / bct.
Functional connectivity fingerprinting: maximizing identifiability in human functional connectomes
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).
Trends in the resting brain
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.
Multi-layer networks based predictions
Predict age, sex, diagnosis or scores to cognitive tests using only multi-layer networks from open datasets.
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