Veranstaltung: caesar Seminar Series
The inverse Ising problem and its applications in neuroscience, protein structure inference and gene regulation
by Prof. Dr. Johannes Berg, Institute for Theoretical Physics, University of Cologne
Inverse problems in statistical physics are motivated by the challenges of `big data' in different fields, in particular high-throughput experiments in biology. In inverse problems, the usual procedure of statistical physics needs to be reversed: Instead of calculating observables on the basis of model parameters, we seek to infer parameters of a model based on observations. Topic of this talk is the inverse Ising problem: how to infer the coupling strengths between spins given observed spin correlations, magnetisations, or other data. I review applications of the inverse Ising problem in neuroscience, protein structure determination, and the inference of gene regulatory networks and discuss different solutions for non-equilibrium and equilibrium scenarios.
Date and place: Tuesday, April 10th, 2018, at 11am, media room.