Statistical Physics and Interdisciplinary Applications

Given some partial information about a system we like to reconstruct the interaction pattern of its elements. These elements can be neurons in a neural network, genes in a cell, pixels in an image or computers in the Internet. In the simplest scenario we assume that elements take only two states and interact pairwise. In this talk I will introduce some methods that people use to deal with this problem.

References:
[1] William Bialek et. al, Faster solutions of the inverse pairwise Ising problem, 2007.
[2] M. Mezard and T. Mora, Constraint satisfaction problems and neural networks: a statistical physics perspective, 2008.