Speaker
Yasser Roudi
(Nordita)
Description
Recent advances in recording technology allow simultaneous
measurement of the activity of many elements in a biological
system, e.g. many neurons, genes etc. This has inspired
people to study how this recorded data can be used to learn
something about the connectivity between these elements.
A useful and powerful platform for studying this problem is the
inverse Ising problem: finding the coupling of an Ising
model given the means and pairwise correlation or samples
from the distribution. In this talk, after briefly describing
exact and approximate methods for finding the couplings of
an equilibrium Ising model, I will describe how we can use a
non-equilibrium model to improve the inference of the
connections.
