53 citations · 110 across the 8 of their papers we have counts for
9 papers
Entropy production of Multivariate Ornstein-Uhlenbeck processes correlates with consciousness levels in the human brain
Matthieu Gilson, Enzo Tagliazucchi, Rodrigo Cofre
Consciousness is supported by complex patterns of brain activity which are indicative of irreversible non-equilibrium dynamics. While the framework of stochastic thermodynamics has…
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
Rodrigo Cofré, Cesar Maldonado, Bruno Cessac
The Thermodynamic Formalism provides a rigorous mathematical framework to study quantitative and qualitative aspects of dynamical systems. At its core there is a variational princi…
Whole-brain models to explore altered states of consciousness from the bottom up
Rodrigo Cofré, Rubén Herzog, Pedro A. M. Mediano +4
The scope of human consciousness includes states departing from what most of us experience as ordinary wakefulness. These altered states of consciousness constitute a prime opportu…
Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains
Rodrigo Cofre, Cesar Maldonado, Fernando Rosas
We consider the maximum entropy Markov chain inference approach to characterize the collective statistics of neuronal spike trains, focusing on the statistical properties of the in…
Information Entropy Production of Spatio-Temporal Maximum Entropy Distributions
Rodrigo Cofre, Cesar Maldonado
Spiking activity from populations of neurons display causal interactions and memory effects. Therefore, they are expected to show some degree of irreversibility in time. Motivated…
Exact computation of the Maximum Entropy Potential of spiking neural networks models
Rodrigo Cofre, Bruno Cessac
Understanding how stimuli and synaptic connectivity in uence the statistics of spike patterns in neural networks is a central question in computational neuroscience. Maximum Entrop…
Hearing the Maximum Entropy Potential of neuronal networks
Rodrigo Cofre, Bruno Cessac
We consider a spike-generating stationary Markov process whose transition probabilities are known. We show that there is a canonical potential whose Gibbs distribution, obtained fr…
Spike train statistics and Gibbs distributions
B. Cessac, R. Cofré
This paper is based on a lecture given in the LACONEU summer school, Valparaiso, January 2012. We introduce Gibbs distribution in a general setting, including non stationary dynami…
Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses
Rodrigo Cofré, Bruno Cessac
We investigate the effect of electric synapses (gap junctions) on collective neuronal dynamics and spike statistics in a conductance-based Integrate-and-Fire neural network, driven…