CCSS Masterclass on Numerical and Analytical Methods for Spatially-Extended Neurobiological Networks: Part I

The CCSS MasterClass is a series of lectures on a specific topic of Complexity Science given by a leading expert in the field, which is generously supported by one of our UU alumni Laurens Gaarenstroom.

Masterclass Overview

General Title: Numerical and Analytical Methods for Spatially-Extended Neurobiological Networks.

Part I on Monday May 13 (10:00-15:00 with lunch): Models, analytical and semi-analytical methods
Part II on Tuesday May 14 (10:00-15:00 with lunch): Numerical methods for brain dynamics
Part III on Thursday May 16 (10:00-15:00 with lunch): Models with random data and stochastic forcing 

Speaker Overview

Dr. Daniele Avitabile is a mathematician in the Amsterdam Center for Dynamics and Computation at Vrije Universiteit Amsterdam, and a member of Inria's MathNeuro Team. He works on spatio-temporal patterns in biological and physical models, which he studies using numerical and analytical methods. Daniele's research interests include: numerical bifurcation analysis, mathematical neuroscience, multi-scale dynamics, numerical methods, localised states, coherent structures, nonlinear media, reaction-diffusion systems, and nonlocal models. He is also an editor-in-chief of the SIAM series on Mathematical Neuroscience.

Models, analytical and semi-analytical methods

We will review models of brain dynamics at various scales, and give an overview of state-of-the-art methods and challenges in this field. I will touch on contributions and perspectives from various communities, at the intersection between mathematics, physics, and computer science. Spatio-temporal patterns of brain activity will be introduced and studied in two models: one in which microscopic neuronal activity is modelled, and one in which such activity is averaged out. For the first lecture, we will stick with analytical or semi-analytical methods. 

Meeting Details (location: MIN 4.16)

10:00-12:00 Lecture on "Models, analytical and semi-analytical methods"
12:00-13:00 FREE lunch for all participants (signup below)
13:00–15:00 Hands-on tutorials

To attend the lecture (physically), please signup below before 15:00 on Thursday May 9.