Rodrigo Cofré
Research interest
I'm broadly interested in the physics, mathematics, neurosciences, computer science, arts, education, and technology. In particular, my research has been focus lately in developing methods to analyze spiking data.
I was born in Santiago, Chile where I studied Mathematical Engineering at the Catholic University (PUC). Then I moved to Nice in France, where I did my Master and Ph.D. theses under the direction of Bruno Cessac at Inria Sophia-Antipolis, where I worked with spiking neuronal network models, applying and developing different computational techniques inspired by methods & ideas from statistical mechanics. After finishing my degrees I moved to Geneva, Switzerland, where I had a postdoctoral position under the direction of Jean-Pierre Eckmann. Since June 2017 I'm a Joint Professor at the Faculty of Engineering at the University of Valparaiso.
Published Work
Literary Accomplishments
Large Deviations Properties of Maximum Entropy Markov Chains from Spike Trains. Entropy 20(8), 573, 2018
Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains. Entropy 20(1), 34, 2018.
Exact computation of the maximum-entropy potential of spiking neural-network models,Phys. Rev. E 89, 052117 (2014).
Spike train statistics and Gibbs distributions, J. Physiol. Paris, Volume 107, Issue 5, Pages 360-368 (November 2013)
Dynamics and spike trains statistics in conductance-based Integrate-and-Fire neural networks with chemical and electric synapses. Chaos, Solitons and Fractals, Volume 50, 2013, Pages 13-31.
Projects
Portfolio of Work
Red Interdisciplinaria de Sistemas Complejos en Neurociencias en Conjunto con el Centre of Complexity sciences del Imperial College. PCI-CONICYT 2018-2020): Rodrigo Cofre (Investigador principal), Pierre Guiraud (Co-Investigador).
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Research Network to Study Predictive Coding in the Retina. (Con grupo Biovision del Inria Sophia-Antipolis) PCI-CONICYT. Año (inicio-término): 2018-2020.
Rodrigo Cofre (Co-Investigador).
Rodrigo Cofre (Co-Investigador).
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PAI79160120
Fortalecimiento de la investigación en Matemática Aplicada y apoyo a programas de pregrado y postgrado en el CIMFAV-Facultad de IngenierÃa de la Universidad de ValparaÃso.
Fuente Financiamiento: CONICYT-PAI. Código PAI79160120. Año (inicio-término): 2017-2020.
Rodrigo Cofré (Investigador)
Resume
Joint Professor, University of Valparaiso
Faculty of Engineering, University of Valparaiso
From June 2017
Scientific Collaborator (Postdoc)
From February 2015 to June 2017.
Department of Theoretical Physics, University of Geneva under the supervision of Jean-Pierre Eckmann.
Ph.D Student
From October 2011 to November 2014
INRIA-Sophia Antipolis, Neuromathcomp team, under the supervision of Bruno Cessac.
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Master II in Computational Biology and Biomedicine
Ecole Polytechnique Universitaire de Nice Sophia Antipolis.
From September 2010 to September 2011
Mathematical Engineering and Bachelor in Aesthetics
2002-2009
2002-2009 Mathematical Engineering , Catholic University of Chili, Graduated with honours. Professional degree (12 semesters). Equivalent to a Master of science
2006-2009 Bachelor in Aesthetics, Catholic University of Chili.
Overview of Courses
Knowledge for Every Level
Introducción a la IngenierÃa Matemática
1er Semestre
Curso introductorio a la disciplina para los alumnos de IngenierÃa matemática. Se presentan los desafÃos actuales de disciplina enfocados en las necesidades regionales, nacionales y mundiales.
2do semestre 2017-2018
Curso de cultura general cientÃfica. Ecuaciónes de Maxwell, relatividad especial, mecanica cuantica, fisica atomica, fisica de particulas y cosmologÃa.
Asistente
2004-2017
Diversos Cursos en las facultades de matemática, fÃsica e Ingenieria de la PUC, en la Ecole Polytechnique de Nice en Francia y la Univerisdad de Ginebra en Suiza.