学术报告
PDEs for neural assemblies; analysis, simulations and behavior but it could also be on tumor growth
Distinguished Lecture Series in Mathematics 系列数学前沿学术讲座
报告题目:PDEs for neural assemblies; analysis, simulations and behavior but it could also be on tumor growth
Such questions can be tackled using nonlinear partial-integro-differential equations which are classically used to describe neuronal assemblies. Among them, the Wilson-Cowan equations are the best known and describe globally brain spiking rates. Another classical model is the integrate-and-fire equation based on Fokker-Planck equations. The spike times distribution, which encodes more directly the neuronal information, can also be described directly thanks to structured population.
We will compare and analyze these models. A striking observation is that solutions to the I\&F can blow-up in finite time, a form of synchronization that can be regularized with a refractory stage. We can also show that for small or large connectivities the 'elapsed time model' leads to desynchronization. For intermediate regimes, sustained periodic activity occurs compatible with observations. A common tool is the use of the relative entropy method.
举办单位:yl9193永利官网、交叉科学研究院
北京国家应用数学中心、北京成像理论与技术高精尖创新中心
光场成像与数字几何北京市重点实验室