Rodrigo Cofre
Rodrigo Cofre
CNRS postdoc, Neuropsi, Gif-sur-Yvette
Подтвержден адрес электронной почты в домене uv.cl
Название
Процитировано
Процитировано
Год
Achievement versus aptitude in college admissions: A cautionary note based on evidence from Chile
M Koljatic, M Silva, R Cofré
International Journal of Educational Development 33 (1), 106-115, 2013
322013
Exact computation of the maximum-entropy potential of spiking neural-network models
R Cofre, B Cessac
Physical Review E 89 (5), 052117, 2014
312014
Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses
R Cofré, B Cessac
Chaos, Solitons & Fractals 50, 13-31, 2013
312013
A mechanistic model of the neural entropy increase elicited by psychedelic drugs
R Herzog, PAM Mediano, FE Rosas, R Carhart-Harris, YS Perl, ...
Scientific reports 10 (1), 1-12, 2020
202020
Spike train statistics and Gibbs distributions
B Cessac, R Cofre
Journal of Physiology-Paris 107 (5), 360-368, 2013
202013
Information entropy production of maximum entropy markov chains from spike trains
R Cofré, C Maldonado
Entropy 20 (1), 34, 2018
132018
Whole-brain models to explore altered states of consciousness from the bottom up
R Cofré, R Herzog, PAM Mediano, J Piccinini, FE Rosas, Y Sanz Perl, ...
Brain Sciences 10 (9), 626, 2020
102020
A comparison of the maximum entropy principle across biological spatial scales
R Cofré, R Herzog, D Corcoran, FE Rosas
Entropy 21 (10), 1009, 2019
102019
High-order interdependencies in the aging brain
M Gatica, R Cofré, PAM Mediano, F Rosas, P Orio, I Diez, SP Swinnen, ...
Brain Connectivity, 2021
92021
An introduction to the non-equilibrium steady states of maximum entropy spike trains
R Cofré, L Videla, F Rosas
Entropy 21 (9), 884, 2019
72019
Large deviations properties of maximum entropy markov chains from spike trains
R Cofré, C Maldonado, F Rosas
Entropy 20 (8), 573, 2018
72018
Dimensionality Reduction on Spatio-Temporal Maximum Entropy Models of Spiking Networks
R Herzog, MJ Escobar, R Cofre, A Palacios, B Cessac
52018
Estimating maximum entropy distributions from periodic orbits in spike trains
B Cessac, R Cofre
INRIA, 2013
52013
Linear Response of General Observables in Spiking Neuronal Network Models
B Cessac, I Ampuero, R Cofré
Entropy 23 (2), 155, 2021
3*2021
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
R Cofré, C Maldonado, B Cessac
Entropy 22 (11), 1330, 2020
32020
Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models
C Coronel-Oliveros, R Cofré, P Orio
PLoS computational biology 17 (2), e1008737, 2021
22021
Structural features of the human connectome that facilitate the switching of brain dynamics via noradrenergic neuromodulation
C Coronel-Oliveros, S Castro, R Cofré, P Orio
Frontiers in Computational Neuroscience, 61, 2021
22021
Scalable and accurate method for neuronal ensemble detection in spiking neural networks
R Herzog, A Morales, S Mora, J Araya, MJ Escobar, AG Palacios, R Cofré
Plos one 16 (7), e0251647, 2021
12021
Hyperharmonic analysis for the study of high-order information-theoretic signals
AM Medina-Mardones, FE Rosas, SE Rodríguez, R Cofré
Journal of Physics: Complexity 2 (3), 035009, 2021
12021
Towards an interdisciplinary framework about intelligence
N Palanca-Castan, BS Tajadura, R Cofré
Heliyon 7 (2), e06268, 2021
2021
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Статьи 1–20