16 October 2023
Colloquium by Prof. Dr. Caio Seguin,
Department of Psychological and Brain Sciences, Indiana University, Bloomington, USA
Understanding communication and information processing in nervous systems is a central goal of neuroscience. Over the past two decades, advances in connectomics and network neuroscience have opened new avenues for investigating polysynaptic communication in complex brain networks. Recent work has brought into question the mainstay assumption that connectome signalling occurs exclusively via shortest paths, resulting in a sprawling constellation of alternative network communication models. In this talk, I will survey the latest developments in models of brain network communication. I will begin by drawing a conceptual link between the mathematics of graph theory and biological aspects of neural signalling such as transmission delays and metabolic cost. I will present a taxonomy of network communication models and measures, aimed at helping researchers navigate the growing number of concepts and methods in the literature. I will review applications of network communication models in basic, cognitive and clinical brain sciences, which showcase the utility of this modelling framework as a flexible, interpretable and tractable avenue to investigate brain function.
Further information about the speakers can be found here:
We organise the present talk as a an online lecture (Zoom details will follow). Credit Points can be obtained as usual as long as you participate for the whole duration of the talk.
Date and time: 16.10.2023 15:00, Zoom meeting