Ideas que nacen desde
diferentes disciplinas

Alternativas de investigación
neurocientífica interdisciplinaria

Qué Hacemos

El cerebro nos parece el objeto físico mas interesante del universo visible. Buscamos entender tanto el modo en que funciona, como los modos en que deja de funcionar correctamente.

Áreas de interés

  • Spiking Neuronal Network Models
  • Brain Sciences
  • EEG Data Analysis
  • Psychedelics
  • Maximum Entropy Principle
  • Anesthesia
  • fMRI Data Analysis
  • Altered States of Consciousness

En Medios

Financiamiento

REDI-170457

Red Interdisciplinaria de Sistemas Complejos en Neurociencias (Joint project with Centre for Complexity Science, Imperial College, U.K ).

REDES-170217

International Research Network to Study Predictive Coding in the Retina (Joint project with Biovision team INRIA, France).

PAI-79160120

Fortalecimiento de la investigación en Matemática Aplicada y apoyo a programas de pregrado y postgrado en el CIMFAV-Facultad de Ingeniería de la Universidad de Valparaíso.

FONDECYT-11181072

Population Coding in the Retina: Revealing the role of non-synchronous Correlations in the Markov Maximum Entropy Approach.

REDES-180151

Interdisciplinary network on dynamical systems, graph theory and biological networks”, (Joint project with Institute of Physics, San Luis, Mexico).

MAGMA-EQA-041903

INRIA associated team, (Joint project with Biovision team INRIA, France).

Recursos

Desarrollamos investigacion en neurociencias, combinando herramientas y miradas interdisciplinarias.

Interviews @ LACONEU summer school

Publicaciones

Post Types

A mechanistic model of the neural entropy increase elicited by psychedelic drugs
Herzog R., Mediano, P.A., Rosas F.E., Carhart-Harris R., Sanz Perl Y., Tagliazucchi, E., Cofre R.

A mechanistic model of the neural entropy increase elicited by psychedelic drugs

Sci Rep 10, 17725 (2020)
Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up
Cofre R., Herzog R., Mediano P.A., Piccinini J., Rosas F.E., Sanz Perl Y., Tagliazucchi E.

Whole-Brain Models to Explore Altered States of Consciousness from the Bottom Up

Brain Sci. 10(9), 626, 2020.
A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales
Cofre R., Herzog R., Corcoran D., Rosas F.

A Comparison of the Maximum Entropy Principle Across Biological Spatial Scales

Entropy 21(10), 1009, 2019
An Introduction to the Non-Equilibrium Steady States of Maximum Entropy Spike Trains
Cofre R., Videla L., Rosas F.

An Introduction to the Non-Equilibrium Steady States of Maximum Entropy Spike Trains

Entropy 21(9), 884, 2019
Large Deviations Properties of Maximum Entropy Distributions of Spike Trains
Cofre R., Maldonado C., Rosas F.

Large Deviations Properties of Maximum Entropy Distributions of Spike Trains

Entropy 20(8), 573, 2018
Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains
Cofre R., Maldonado C.

Information Entropy Production of Maximum Entropy Markov Chains from Spike Trains

Entropy 20(1), 34, 2018
Exact computation of the Maximum Entropy Potential from spiking neural networks models,
Cofre R., Cessac B.

Exact computation of the Maximum Entropy Potential from spiking neural networks models,

Physical Review E, Volume 89, Issue 5, May 2014.
Spike train statistics and Gibbs distributions
Cessac B., Cofre R.

Spike train statistics and Gibbs distributions

J. Physiol. Paris, Volume 107, Issue 5, Pages 360-368, November 2013

Quiénes Somos

La complejidad del fenómeno neuronal y la gran cantidad de datos que arrojan las nuevas tecnologias, requieren del concurso de diferentes competencias.

Equipo

Rodrigo Cofré
Investigador Principal

Maximum Entropy Principle · Retinal Neural Coding · Brain Sciences · Altered States of Consciousness

Twitter pageResearch Gate page
Fernando Rosas
Investigador Principal

Complex Systems · Signal Processing · Multivariate Information Theory · Psychedelics

LinkedIn pageResearch Gate page
Rubén Herzog
Investigador

Spiking Neural Networks · Psychedelics · Whole Brain Modelling · Multivariate Information Theory

Research Gate page
Marilyn Gatica
Investigadora

Computational Neuroscience · Information Theory · Neural Network Models · Biomedicine

LinkdIn pageResearch Gate page
Ignacio Ampuero
Investigador

Redundancy and Neural Coding · Spiking Neuronal Networks · High Performance Computing · Machine Learning

LinkedIn page
Sebastián Rodríguez
Investigador

High Performance Computing · GPU · Neuronal Networks · Machine Learning

Colaboración Internacional

Enzo Tagliazucchi
Head of the Computational Cognitive Neuroscience Lab, Universidad de Buenos Aires, Argentina
Pedro Mediano
Department of Psychology, University of Cambridge, U.K
Bruno Cessac
Head of Biovision team Inria, Université Côte d’Azur and Neuromod Institute ,France
Jesús Cortés
BioCruces-Bizkaia Health Research Institute, Bilbao Spain
Robin Carhart-Harris
Head of the Centre for Psychedelic Research, Division of Brain Sciences, Faculty of Medicine, Imperial College London, U.K

Escríbenos