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- Publications
- Influence

Electrocatalytic activity of cobalt phthalocyanine CoPc adsorbed on a graphite electrode for the oxidation of reduced L-glutathione (GSH) and the reduction of its disulfide (GSSG) at physiological pH.

- Nazaré Pereira-Rodrigues, R. Cofré, J. H. Zagal, F. Bédioui
- Chemistry, Medicine
- Bioelectrochemistry
- 2007

Modified electrodes coated by adsorbed cobalt phthalocyanines are known to show substantial electrocatalytic activity for the electro-oxidation of several thiols in alkaline aqueous solution. In this… Expand

Spike train statistics and Gibbs distributions

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 dynamics, and present… Expand

Exact computation of the maximum-entropy potential of spiking neural-network models.

- R. Cofré, B. Cessac
- Physics, Computer Science
- Physical review. E, Statistical, nonlinear, and…
- 14 May 2014

Understanding how stimuli and synaptic connectivity influence the statistics of spike patterns in neural networks is a central question in computational neuroscience. The maximum-entropy approach has… Expand

Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses

Communication between neurons involves chemical synapses as well as electric synapses. On theoretical grounds, the role of gap junctions in encoding and shaping collective dynamics as well as spike… Expand

Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses

Abstract 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 by… Expand

Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains

- R. Cofré, Cesar Maldonado
- Mathematics, Computer Science
- Entropy
- 9 January 2018

The spiking activity of neuronal networks follows laws that are not time-reversal symmetric; the notion of pre-synaptic and post-synaptic neurons, stimulus correlations and noise correlations have a… Expand

Achievement versus Aptitude in College Admissions: A Cautionary Note Based on Evidence from Chile.

- Mladen Koljatic, M. Silva, R. Cofré
- Sociology
- 2013

Abstract In recent years there has been a debate over the alleged superiority of achievement tests over aptitude tests on the grounds that the first would be fairer for college admissions and less… Expand

Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains

- R. Cofré, Cesar Maldonado, F. Rosas
- Computer Science, Biology
- Entropy
- 18 May 2018

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 inferred model. To… Expand

Estimating maximum entropy distributions from periodic orbits in spike trains

We present a method allowing to compute the shape of a Maximum Entropy potential with spatio-temporal constraints, from the periodic orbits appearing in the spike train.

- 3

Dimensionality Reduction on Spatio-Temporal Maximum Entropy Models of Spiking Networks

- Rubén Herzog, M. Escobar, R. Cofré, A. Palacios, B. Cessac
- Biology
- 8 March 2018

Maximum entropy models (MEM) have been widely used in the last 10 years to characterize the statistics of networks of spiking neurons. A major drawback of this approach is that the number of… Expand