for EITN spring school (April 2019,
link to EITN
July 2019: Workshop on
Functional network dynamics: Recent mathematical perspectives
conference in Barcelona (Spain).
Feb 2019: new preprint
The covariance perceptron: A new framework for classification and processing of time series in recurrent neural networks.
Jan 2019: new preprint
MOU-EC: model-based whole-brain effective connectivity to extract biomarkers for brain dynamics from fMRI data and study distributed cognition.
Jan 2019: update of preprint
Network analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability.
Oct 2018: new preprint
Propagation of moments in Hawkes networks.
Sept 2018: new preprint
Analysis of brain network dynamics estimated from fMRI data: A new framework based on communicability and flow.
2nd-6th July 2018: one-week summer course
Introduction to analysis of neural data and brain connectivity
at Universitat Politecnica de Barcelona (XII Summer School UPC-UB edition)
23rd May 2018: one-day workshop about
brain connectivity analysis from neural data
24-25th May 2018:
Barcssyn 2018 conference in Barcelona
Dec 2017: new preprint on
analysis of complex network dynamics, aiming to bridge dynamic systems and graph theory.
Oct 2017: new preprint about
session classification from fMRI data (subject and condition identification)
presentation slides on whole-brain fMRI analysis
from talk at conference
Coupling and Causality in Complex Systems
in Köln (Germany)
Sept 2017: new preprint
Task-related effective connectivity reveals that the cortical rich club gates cortex-wide communication
July 2017: workshop
Fingerprints of brain dynamics estimated from neuroimaging data and application to discrimination between individuals, tasks and/or conditions
at CNS2017 in Antwerp (Belgium)
Tools for fMRI analysis (posted on Dec 2016):
python code for EC estimation