Complex networks and cognitive systems
Co-Leaders
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Research center
Institution
Laboratory
Keywords
Publications
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
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.