Topological perspectives on networks
Abstract
Over the past decade or so, tools from algebraic topology have been shown to be very useful in the analysis and characterization of networks, in particular for exploring the relation of structure to function. I will describe some of these tools and illustrate their utility in neuroscience.
Where
Online (Zoom) Link to register: https://iu.zoom.us/webinar/register/WN_kjcg_saTmi4oQERGNX8Lg#/registration
Short Bio
Kathryn Hess received her PhD in algebraic topology from MIT and held positions at the universities of Stockholm, Nice, and Toronto before moving to the EPFL, where she is now full professor of mathematics and life sciences. Her research focuses on algebraic topology and its applications, primarily in the life sciences, but also in materials science. In her work in applied topology, she has elaborated methods based on topological data analysis for high-throughput screening of nanoporous crystalline materials, classification and synthesis of neuron morphologies, and classification of neuronal network dynamics. She has also developed and applied innovative topological approaches to network theory.