Modelisation et analyse de donnees de la synapse aux reseaux neuronaux

par Kanishka chathuranga basnayake Basnayake Mudiyanselage

Projet de thèse en Physique

Sous la direction de David Holcman.

Thèses en préparation à Paris Sciences et Lettres , dans le cadre de École doctorale Physique en Île-de-France (Paris) , en partenariat avec Institut de Biologie de l'École Normale Supérieure (laboratoire) et de Ecole normale supérieure (établissement de préparation de la thèse) depuis le 01-09-2016 .

  • Titre traduit

    Modeling and Analysis of Data from Synapses to Neuronal Networks


  • Résumé

    I study the neuronal synapse with a combination of tools from mathematical modelling, simulations and analysis of experimental data. The main focus of the PhD is on the dendritic spine, with a special emphasis on its Spine Apparatus (SA), which is a derivative of endoplasmic reticulum. I constructed a model with a local geometry that comprises the spine, SA, calcium buffers, SERCA pumps and Ryanodine receptors (RyRs). The simulations of the model predicted how the RyRs and SERCA pumps are located specifically to contribute towards the calcium transients observed in the imaging data. These predictions were later confirmed experimentally using super resolution STED microscopy. The computational results were then extended to develop a more general theoretical analysis on the extreme statistics of fastest-arriving brownian particles. Incorporating these findings about the synapses, I am extending the model to encompass the activity along the dendrites that can explain spontaneous calcium measurements. Moreover, work of the final phase of the PhD would also be on the regulation mechanisms of the balance in calcium intake versus release in dendritic spines.