| 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 | 38 | 2020 |
| 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 | 37 | 2013 |
| Exact computation of the maximum-entropy potential of spiking neural-network models R Cofre, B Cessac Physical Review E 89 (5), 052117, 2014 | 36 | 2014 |
| 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 | 34 | 2013 |
| Spike train statistics and Gibbs distributions B Cessac, R Cofre Journal of Physiology-Paris 107 (5), 360-368, 2013 | 24 | 2013 |
| High-order interdependencies in the aging brain M Gatica, R Cofré, PAM Mediano, F Rosas, P Orio, I Diez, SP Swinnen, ... Brain Connectivity, 2021 | 21 | 2021 |
| 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 | 21 | 2020 |
| Information entropy production of maximum entropy markov chains from spike trains R Cofré, C Maldonado Entropy 20 (1), 34, 2018 | 18 | 2018 |
| A comparison of the maximum entropy principle across biological spatial scales R Cofré, R Herzog, D Corcoran, FE Rosas Entropy 21 (10), 1009, 2019 | 15 | 2019 |
| An introduction to the non-equilibrium steady states of maximum entropy spike trains R Cofré, L Videla, F Rosas Entropy 21 (9), 884, 2019 | 9 | 2019 |
| Thermodynamic formalism in neuronal dynamics and spike train statistics R Cofré, C Maldonado, B Cessac Entropy 22 (11), 1330, 2020 | 8 | 2020 |
| Linear response of general observables in spiking neuronal network models B Cessac, I Ampuero, R Cofré Entropy 23 (2), 155, 2021 | 7* | 2021 |
| Large deviations properties of Maximum entropy Markov chains from spike trains R Cofré, C Maldonado, F Rosas Entropy 20 (8), 573, 2018 | 7 | 2018 |
| Dimensionality reduction on spatio-temporal maximum entropy models of spiking networks R Herzog, MJ Escobar, R Cofre, AG Palacios, B Cessac bioRxiv, 278606, 2018 | 6 | 2018 |
| 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 | 5 | 2021 |
| Estimating maximum entropy distributions from periodic orbits in spike trains B Cessac, R Cofre INRIA, 2013 | 5 | 2013 |
| 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 | 3 | 2021 |
| Towards an interdisciplinary framework about intelligence N Palanca-Castan, BS Tajadura, R Cofré Heliyon 7 (2), e06268, 2021 | 3 | 2021 |
| 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 | 3 | 2021 |
| High-order functional interactions in ageing explained via alterations in the connectome in a whole-brain model M Gatica, FE Rosas, PAM Mediano, I Diez, SP Swinnen, P Orio, R Cofre, ... bioRxiv, 2021 | 2 | 2021 |
bruno cessacINRIAVerified email at inria.fr
