*** This event has been moved online due to strikes for fair pay and pension ***
Neuronal network activity is often measured in form of voltage fluctuations and, after some data processing, avalanches are usually extracted as signatures of collective behaviour. In my talk, I will discuss where these avalanches come from and whether we should attach a lot of meaning to them. I will then dig deeper by looking at a more microscopic model of the dynamics: a feed-forward network of leaky-integrate-and-fire neurons. Here, we can identify several phases of activity and we can trace back avalanche dynamics to a more microscopic picture. In particular, we will need to distinguish between causal avalanches and an avalanche definition that is based on excursions of activity. Furthermore, we will also look at the interesting low-noise limit of cellular automata.
A Centre for Complexity Science seminar.