English
Around a Fokker-Planck equation modeling neuronal networks
Post-edited
Auteurs : Salort, Delphine (Auteur de la Conférence)
CIRM (Editeur )
82C32 - Neural nets
92B20 - Neural networks, artificial life and related topics
35Q84 - Fokker-Planck equations
CIRM (Editeur )
Résumé :
In this talk, I will focus on a Fokker-Planck equation modeling interacting neurons in a network where each neuron is governed by an Integrate and Fire dynamic type. When the network is excitatory, neurons that discharge, instantaneously increased the membrane potential of the neurons of the network with a speed which is proportional to the amplitude of the global activity of the network. The self-excitable nature of these neurons in the case of excitatory networks leads to phenomena of blow-up, once the proportion of neurons that are close to their action potential is too high. In this talk, we are interested in understanding the regimes where solutions globally exist. By new methods of entropy and upper-solution, we give criteria where the phenomena of blow-up can not appear and specify, in some cases, the asymptotic behavior of the solution.
integrate-and-fire - neural networks - Fokker-Planck equation - blow-up
Codes MSC : integrate-and-fire - neural networks - Fokker-Planck equation - blow-up
82C32 - Neural nets
92B20 - Neural networks, artificial life and related topics
35Q84 - Fokker-Planck equations
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Informations sur la Vidéo
Réalisateur : Hennenfent, GuillaumeLangue : Français Date de publication : 08/01/15 Date de captation : 11/12/14 Sous collection : Research talks arXiv category : Quantitative Biology ; Analysis of PDEs Domaine : PDE ; Mathematics in Science & Technology Format : QuickTime (.mov) Durée : 00:50:50 Audience : Researchers Download : https://videos.cirm-math.fr/2014-12-11_Salort.mp4 
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Informations sur la Rencontre
Nom de la rencontre : LEM2I international conference / Colloque international du LEM2IOrganisateurs de la rencontre : Benabdallah, Assia ; Dehman, Belhassen ; Dermenjian, Yves ; Lebeau, Gilles ; Pardoux, Etienne Dates : 08/12/14 - 12/12/14 Année de la rencontre : 2014 URL Congrès : http://lem2i-2014.sciencesconf.org/
Données de citation
DOI : 10.24350/CIRM.V.18652103Citer cette vidéo: Salort, Delphine (2014). Around a Fokker-Planck equation modeling neuronal networks. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.18652103 URI : http://dx.doi.org/10.24350/CIRM.V.18652103 |
Bibliographie
- Brunel, N., & Hakim, V. (1999). Fast global oscillations in networks of integrate-and-fire neurons with long firing rates. Neural Computation, 11(7), 1621–1671 - http://dx.doi.org/doi:10.1162/089976699300016179
- Caceres, M.J., & Perthame, B. (2014). Beyond blow-up in excitatory integrate and fire neuronal networks: refractory period and spontaneous activity. Journal of Theoretical Biology, 350, 81–89. <10.1016/j.jtbi.2014.02.005>.
- http://hal.upmc.fr/hal-00874746 - Caceres, M.J., Carrillo, J.A., & Perthame, B. (2011). Analysis of nonlinear noisy integrate & fire neuron models: blow-up and steady states, Journal of Mathematical Neuroscience, 1:7 - http://dx.doi.org/10.1186/2190-8567-1-7
- Carrillo, J.A., Perthame, B., Salort, D., & Smets, D. (2014). Qualitative properties of solutions for the noisy integrate & fire model in computational neuroscience.
- https://hal.archives-ouvertes.fr/hal-01079381 - Carrillo, J.A., Gonzalez, M.d.M., Gualdani, M.P., & Schonbek, M.E. (2013). Classical solutions for a nonlinear Fokker-Planck equation arising in computational neuroscience. Communications in Partial Differential Equations, 38(1-3), 385–409 - http://dx.doi.org/10.1080/03605302.2012.747536
- Delarue, F., Inglis, J., Rubenthaler, S., & Tanré, E. (2014) Global solvability of a networked integrate-and-fire model of McKean-Vlasov type.
- https://hal.inria.fr/hal-00747565
