Matthieu GILSON

matthieu.gilson [at] upf.edu
ORCID 0000-0002-6726-7207

Theory of multi-scale neuronal networks
INM-6, Forschungszentrum Jülich (Germany)

Computational Neuroscience

I study models of neuronal networks, their dynamics and emerging functions, at the microscopic and macroscopic levels. I use them to interpret neuroimaging and electrophysiological data. My continuing interest is on distributed representations and computations in neuronal networks. I am currently a post-doc in the lab led by Moritz Helias at the Forschungszentrum Jülich in Germany.

Recent news

Dec 2020: new manuscript by Mohit (Effective connectivity extracts clinically relevant prognostic information from resting state activity in stroke).
Jun 2020: manuscript accepted in Cerebral Cortex about estimation of directed effective connectivity in visual cortices (Propagation of BOLD activity reveals directed interactions across human visual cortex).
Jan 2020: revised work about covariance perceptron, now divided into two papers for learning theory ( biorxiv preprint) and memory capacity (arxiv preprint).
Dec 2019: manuscript accepted in Network Neuroscience Model-based whole-brain effective connectivity to study distributed cognition in health and disease. (was previously entitled "MOU-EC: model-based whole-brain effective connectivity to extract biomarkers for brain dynamics from fMRI data and study distributed cognition")
Dec 2019: manuscript accepted in SIADS Propagation of spiking moments in linear Hawkes networks.

older news (preprints, past workshops, etc.)
See also Resources for links to code and slides.

Current and past funding

MSE visiting fellowship (2020) at The University of Melbourne
Marie Sklodowska-Curie Action fellowship (March 2016 - March 2018): NeuArc2Fun project
Human Brain Project, work package led by Gustavo Deco (February 2014 - March 2015)
PhD scholarship from the University of Melbourne (2005-2009)

Matthieu GILSON

Computational Neuroscience

Recent news

Current and past funding

External links