2022 - T1 - WS2 - Mathematical modeling and statistical analysis in neuroscience

Collection 2022 - T1 - WS2 - Mathematical modeling and statistical analysis in neuroscience

Organizer(s) Ditlevsen, Susanne ; Faugeras, Olivier ; Galves, Antonio ; Reynaud-Bouret, Patricia ; Salort, Delphine ; Shinomoto, Shigeru

Date(s) 31/01/2022 - 04/02/2022

linked URL https://indico.math.cnrs.fr/event/6532/

00:00:00 / 00:00:00

9 30

Multi-scale modeling of vesicular release at neuronal synapses

By Claire Guerrier

Cells specific geometries and organizations are most of the time the main actors shaping their function. In the same time, taking into account such complex geometries in stochastic or PDE models usually leads to heavy simulations and limited analysis.

 In the context of vesicular release at neuronal synapses, we used conformal mapping and asymptotic analysis to compute the narrow escape time at a cusp-like geometry. We used this result to build a simple discrete-continuum model that takes into account both a stochastic regime governed by rare events and a continuous regime in the bulk. With this model, we then investigated the mechanisms inducing paired-pulse facilitation and depression at neuronal synapses.

Information about the video

Date of recording 01/02/2022
Date of publication 01/02/2022
Institution IHP
Language English
Audience Researchers
Director(s) Mandarine Audiovisuel
Format MP4
Venue IHP - Hermite Amphitheater

Citation data

DOI 10.57987/IHP.2022.T1.WS2.009
Cite this video GUERRIER, Claire (01/02/2022). Multi-scale modeling of vesicular release at neuronal synapses. IHP. Audiovisual resource. DOI: 10.57987/IHP.2022.T1.WS2.009
URL https://dx.doi.org/10.57987/IHP.2022.T1.WS2.009

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