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
  • Whole-Brain models
  • Retina 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

Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation
Coronel-Oliveros C., Castro S., Cofré R., Orio P.

Structural Features of the Human Connectome That Facilitate the Switching of Brain Dynamics via Noradrenergic Neuromodulation

Front. Comput. Neurosci., 14 July 2021
Scalable and accurate method for neuronal ensemble detection in spiking neural networks
Herzog R., Morales A.,Mora S., Araya J.,Escobar M.J,Palacios A.G, Cofré R.

Scalable and accurate method for neuronal ensemble detection in spiking neural networks

PLoS ONE 16(7): e0251647
High-Order Interdependencies in the Aging Brain
Gatica M, Cofré R, Mediano P.A.M, Rosas F., Orio P., Diez I., Swinnen S.P, and Cortes J.M.

High-Order Interdependencies in the Aging Brain

Brain Connectivity
Hyperharmonic analysis for the study of high-order information-theoretic signals
Medina-Mardones A., Rosas F., Rodríguez S.,Cofré R.

Hyperharmonic analysis for the study of high-order information-theoretic signals

J. Phys. Complex. 2 035009
Towards an interdisciplinary framework about intelligence
Palanca-Castan N., Sánchez-Tajadura B., Cofré R.

Towards an interdisciplinary framework about intelligence

Heliyon, Volume 7, Issue 2
Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models
Coronel-Oliveros C,Cofré R.,Orio R.

Cholinergic neuromodulation of inhibitory interneurons facilitates functional integration in whole-brain models

Comput Biol 17(2): e1008737
Linear Response of General Observables in Spiking Neuronal Network Models
Cessac B,Ampuero I., Cofré R.

Linear Response of General Observables in Spiking Neuronal Network Models

Entropy 2021, 23(2), 155
Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics
Cofré R., Maldonado C., Cessac B.

Thermodynamic Formalism in Neuronal Dynamics and Spike Train Statistics

Entropy 2020, 22(11), 1330
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.

Videos

Mini-Course on Whole Brain Models

Exploring the Brain and its altered states

High-order interdependencies in the aging brain TopoNets 2020

Dimensionality reduction of high-order signals via hyperharmonic modes

Codes

github.com/brincolab

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

Colaboradores:

Nacional: Patricio Orio, Adrian Palacios, Maria Jose Escobar, Joaquín Araya, Sammy Castro.

Internacional: Alain Destexhe, Jacobo Sitt, Yonatan Sanz-Perl, Cesar Maldonado, Beatriz Sanchez-Tajadura, Nicolas Palanca-Castan.

Escríbenos