Synaptic dynamics: insight from mathematical modeling...
Event details
| Date | 28.02.2013 |
| Hour | 11:00 |
| Speaker | Dr. David Holcman, Ecole Normale Superieure, Ulm, France |
| Category | Conferences - Seminars |
Complete title of the talk: Synaptic dynamics : insight from mathematical modeling and analysis of superresolution data
What defines synaptic strength at a molecular level and how can we compute the synaptic current?
To answer these questions, we will present mathematical models that we have developed for estimating the current at excitatory synapse based on the properties of AMPA receptors. We accounted for various geometrical parameters of the synapse and also for receptor trafficking. We will also present statistical methods based on the Langevin's equation to extract local biophysical properties of cell-particle interaction from thousands of individual trajectories.
We will focus on AMPA receptor diffusion properties and the strength of their molecular interaction at the sub-diffraction level. Our analysis reveals several attracting potential wells of large sizes, showing that the high density of AMPARs is generated by physical interactions with an ensemble of cooperative membrane surface binding sites, rather than molecular crowding. This talk summarizes our long lasting effort to identify key parameters involved in the regulation of synaptic transmission and plasticity, processes that underlie learning and memory.
What defines synaptic strength at a molecular level and how can we compute the synaptic current?
To answer these questions, we will present mathematical models that we have developed for estimating the current at excitatory synapse based on the properties of AMPA receptors. We accounted for various geometrical parameters of the synapse and also for receptor trafficking. We will also present statistical methods based on the Langevin's equation to extract local biophysical properties of cell-particle interaction from thousands of individual trajectories.
We will focus on AMPA receptor diffusion properties and the strength of their molecular interaction at the sub-diffraction level. Our analysis reveals several attracting potential wells of large sizes, showing that the high density of AMPARs is generated by physical interactions with an ensemble of cooperative membrane surface binding sites, rather than molecular crowding. This talk summarizes our long lasting effort to identify key parameters involved in the regulation of synaptic transmission and plasticity, processes that underlie learning and memory.
Links
Practical information
- General public
- Free
Organizer
- Suliana Manley
Contact
- Coke Isabelle <[email protected]>