Dynamical structure-function correlations provide robust and generalizable signatures of consciousness in humans
Published in Commun Biol 7, 1224, 2024
Publications
Transcranial direct current stimulation modulates primate brain dynamics across states of consciousness
Published in eLife 13:RP101688, 2024
Local Orchestration of Global Functional Patterns Supporting Loss and Restoration of Consciousness in the Primate Brain
Published in Nat Commun 15, 2171, 2024
A whole-brain model of the neural entropy increase elicited by psychedelic drugs
Published in Sci Rep 13, 6244, 2023
Computational modelling in disorders of consciousness: closing the gap towards personalised models for restoring consciousness
Published in NeuroImage, 275 (15), 2023
Entropy production of multivariate Ornstein-Uhlenbeck processes correlates with consciousness levels in the human brain
Published in Phys. Rev. E 107, 024121, 2023
Whole-brain modeling explains the context-dependent effects of cholinergic neuromodulation
Published in NeuroImage Volume 265, 119782, 2023
Dynamical models to evaluate structure–function relationships in network neuroscience
Published in Nature Reviews Neuroscience, 1-2, 2022
High-order functional interactions in ageing explained via alterations in the connectome in a whole-brain model
Published in PLoS Comput Biol 18(9), 2022
Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation
Published in Front. Comput. Neurosci. 15:687075, 2021
Scalable and accurate automated method for neuronal ensemble detection in spiking neural networks
Published in PLoS ONE 16(7): e0251647, 2021
Hyperharmonic analysis for the study of high-order information-theoretic signals
Published in J. Phys. Complex. 2(3) 035009, 2021
High-Order Brain Interactions in aging
Published in Brain Connectivity, Vol. 11, No. 9, 2021
Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models
Published in PLoS Comput Biol 17(2): e1008737, 2021
Towards an interdisciplinary framework about intelligence
Published in Heliyon 7(2), 2021
Linear Response of General Observables in Spiking Neuronal Network Models
Published in Entropy 23(155), 2021
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
Published in Entropy 22(11), 1330, 2020
A mechanistic model of the neural entropy increase elicited by psychedelic drugs
Published in Sci. Rep. 10:17725, 2020
Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up
Published in Brain Sci. 10(9), 626, 2020
A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales
Published in Entropy 21(10), 1009, 2019
An Introduction to the Non-Equilibrium Steady States of Maximum Entropy Spike Trains
Published in Entropy 21(9), 884, 2019
Large Deviations Properties of Maximum Entropy Distributions of Spike Trains
Published in Entropy 20(8), 573, 2018
Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
Published in Entropy 20(1), 34, 2018
Exact computation of the Maximum Entropy Potential from spiking neural networks models
Published in Physical Review E, Volume 89, Issue 5, 2014
Spike train statistics and Gibbs distributions
Published in J. Physiol. Paris, Volume 107, Issue 5, Pages 360-368, 2013
Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses
Published in Chaos, Solitons and Fractals, Volume 50, Pages 13-31, 2013
Achievement versus aptitude in college admissions: a cautionary note based on evidence from Chile
Published in International Journal of Educational Development Volume 33, Issue 1, Pages 106-115 , 2013