Conférence
Notice
Langue :
Anglais
Crédits
CNRS - Centre National de la Recherche Scientifique (Publication), INRIA (Institut national de recherche en informatique et automatique) (Production), INRIA (Institut national de recherche en informatique et automatique) (Publication), Jacques Demongeot (Intervention)
Conditions d'utilisation
Droit commun de la propriété intellectuelle
DOI : 10.60527/9gp6-hp31
Citer cette ressource :
Jacques Demongeot. Inria. (2018, 24 mai). Biological Networks Entropies: examples in neural, genetic and social networks. [Vidéo]. Canal-U. https://doi.org/10.60527/9gp6-hp31. (Consultée le 30 mai 2024)

Biological Networks Entropies: examples in neural, genetic and social networks

Réalisation : 24 mai 2018 - Mise en ligne : 12 juin 2018
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Descriptif

The networks used in biological applications at different scales (molecular, cellular and populational) are of different types, genetic, neuronal, and social, but they share the same dynamical concepts, the notion of intercation graph G(J) associated to their Jacobian matrix J, and also the concepts of frustrated nodes, positive or negative circuits of G(J), kinetic energy, entropy, attractors, structural stability, etc...are relevant and useful for studying the dynamics and the robustness of these systems.

We will give some general results available for both continuous and discrete biologial networks and then, give some specific applications (a neural network involved in the memory evocation, a genetic network responsible of the Iron control and a social network accounting for the obesity spread in a high school environment).

Intervention

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