ADVANCEDMODNEURO · Multiscale analysis and hybrid simulations of neuronal microdomains: from molecular dynamics to function
FP7 — People (Marie Curie Actions)
- Duration
- 2015-05-08 → 2017-05-07
- EU contribution
- €309,235
- Participants
- 1
- Scheme
- MC-IEF
Lines connect the coordinator with its partners.
Results in brief
Multiscale analysis and hybrid simulations of neuronal microdomains: from molecular dynamics to function
-My main training objective was achieved and consisted in learning and developing novel methods in asymptotic and numerical simulations to enhance my skills in complex and heavy numerical simulations applied to cellular microdomains. The specific objectives are methods in asymptotic to analyze diffusion around three-dimensional cusps, the theory of simulations to study the reflection of shaped object and to perform simulations in crowded environment, learning the theory of electro-diffusion (coupled Poisson-Nernst-Planck), image reconstruction to reconstruct the PSD organization, learning how to develop stochastic simulations on confocal and superresolution image domains and finally learn how to do fast and realistic multiscale simulations. Specifically, I have now gained the background in numerical simulations toward complex network of chemical reactions. Training methods include learning from articles, informal discussions, programming, guided reading of the literature, and courses offered by the University of Oxford.
Data: CORDIS, © European Union
Project objective
Critical biological processes, such as cellular physiology or neuronal transmission have very different spatial scales are due to small binding sites inside or on the cell boundary, or narrow passages between large compartments. The great disparity in spatial scales can be resolved by singular perturbation analysis of their mathematical models. Deriving the function of neuronal synapses from their molecular organization falls precisely in the class of problems associated with diffusion and it constitutes the inherent daunting hurdle of multiple scales. We propose here to construct mathematical models of neuronal microdomains, starting from the molecular to the cellular level and to develop stochastic modeling and singular perturbation methods for asymptotic analysis of the model equations, to use the analytical and numerical approximate solutions to extract properties from newly available molecular data and from Brownian dynamics simulations. A major application of the proposed molecular level modeling is the resolution of the spatiotemporal dynamics regulating neuronal microdomains and synapses. The results of this research will be methods in mathematical modeling, data analysis, asymptotic analysis, and in the designing of stochastic simulations of subcellular processes.
Original text from CORDIS.
Participants
- THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD · OxfordCoordinatorUnited Kingdom
Links
Data: CORDIS, © European Union