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- Date de réalisation : 24 Mai 2018
- Durée du programme : 65 min
- Classification Dewey : Intelligence artificielle, réseaux neuronaux, automates cellulaires, vie artificielle, biomathématiques
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- Catégorie : Conférences
- Niveau : niveau Master (LMD), niveau Doctorat (LMD), Recherche
- Disciplines : Mathématiques et informatique
- Collections : Colloquium Jacques Morgenstern : recherches en STIC - nouveaux thèmes scientifiques, nouveaux domaines d’application, et enjeux
- ficheLom : Voir la fiche LOM
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- Auteur(s) : DEMONGEOT Jacques
- producteur : INRIA (Institut national de recherche en informatique et automatique)
- Editeur : CNRS - Centre National de la Recherche Scientifique , INRIA (Institut national de recherche en informatique et automatique)
Biological Networks Entropies: examples in neural, genetic and social networks
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Biological Networks Entropies: examples in neural, genetic and social networks
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).
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