| El Boustani Sami |
| Email |
sami.elboustani iaf.cnrs-gif.fr |
| Gender |
Male |
| Nationality |
Switzerland |
| Year of birth |
1981 |
| Department |
Essone (91) |
| University |
UNIC - CNRS UPR 2191 (ED3C - Jussieu) |
| Country (of work) |
France |
| Simulation Project Title |
Comparative study of statistical measures in neuron networks. |
| Type of model |
Systems model |
| Description |
I would like to use tools from information theory to measure activity propagation in
networks of neurons, and compare these tools to classic measures such as correlations. I will
use known IF network models exhibiting different activity states (irregular or oscillating),
submit these networks to external inputs, and measure activity propagation using different
methods. The approach may be generalized to characterize the statistical properties of these
activity states (using MATLAB and NEST). |
| Why complementary |
My PhD project is about applying concepts of fluid dynamics (turbulent phenomena) to
analyze and model voltage-sensitive dye optical imaging data. I would like to use information
theoretic techniques, and use of numerical tools such as MATLAB. The course has experts for
both, applied in the context of neural modeling. The proposed course project on comparing
different methods will be invaluable for me to learn these tools and later apply them to my
PhD project. |
| Tutor |
Tim Vogels |