Complex networks and cognitive systems



Research center

45 rue d’Ulm
75230 Paris
Marc Mézard


Ecole Normale Supérieure
Université Pierre et Marie Curie
Université Paris Diderot
ED158 - ED107
Université Pierre et Marie Curie / Université Paris Diderot


Laboratoire de Physique Statistique
UMR 8550


neurosciences computationnelles, biomathématique, bioinformatique, modélisation des systèmes complexes


Posani L, Cocco S, Ježek K, Monasson R. Functional connectivity models for decoding of spatial representations from hippocampal CA1 recordings. J Comput Neurosci. 2017 Aug;43(1):17-33.

Gardella C, Marre O, Mora T. A Tractable Method for Describing Complex Couplings between Neurons and Population Rate. eNeuro. 2016 Aug 18;3(4). pii: ENEURO.0160-15.2016.

Sustained Rhythmic Brain Activity Underlies Visual Motion Perception in Zebrafish. Pérez-Schuster V, Kulkarni A, Nouvian M, Romano SA, Lygdas K, Jouary A, Dipoppa M, Pietri T, Haudrechy M, Candat V, Boulanger-Weill J, Hakim V, Sumbre G. Cell Rep. 2016 Oct 18;17(4):1098-1112.

Franke F, Fiscella M, Sevelev M, Roska B, Hierlemann A, da Silveira RA. Structures of Neural Correlation and How They Favor Coding. Neuron. 2016 Jan 20;89(2):409-22.

Ostojic S, Szapiro G, Schwartz E, Barbour B, Brunel N, Hakim V. Neuronal morphology generates high-frequency firing resonance. J Neurosci. 2015 May 6;35(18):7056-68


Fields of research

Cognitive neurosciences / neuropsychology /neuroeconomy

Research Theme

The creation of our team results from the development of an activity at the interface between physics and the sciences of living systems, initiated at the Physics Department of Ens by Gérard Weisbuch and Gérard Toulouse at the beginning of the 80's.
With a physicist approach we study complex adaptive (living, social or artificial) systems. We apply concepts and methods borrowed from:

  • the statistical physics of disordered systems;
  • the dynamics of non-linear systems.

Within the Statistical Physics Laboratory at ENS, these methods are largely applied to domains belonging more directly to the physics of disordered systems and of growth and form.

We make use of both analytical and numerical techniques. In addition, an experimental psychology activity is being developped in parallel to our modeling approach in cognitive sciences.

Team members

Rava Azeredo da Silveira
Simona Cocco
Thierry Mora

Lab rotation

Computation, coding, and decision-making in neural and cognitive systems

Team leader: 

HAKIM Vincent


April 2, 2018 - June 29, 2018

Application deadline: 

June 29, 2018


~ April-June 2018


The project will consist in modeling and/or analyzing neural or behavioral data. The specific problem considered will focus on the activity in neural population and how it represents information. Alternatively, it will pertain to modeling and analyzing behavioral variability and biases in perceptual or economic decision making. 


Ecole Normale Supérieure - Laboratoire de Physique Statistique - 24, rue Lhomond 75005 Paris - +33 1 44 32 34 73 -