Speaker
Benjamin Dunn
Description
A number of known neuron types appear to have interesting-shaped state spaces. The rodent head direction system is a nice example of this with distinct population responses at each angle on the circle. Grid cells are another interesting case and we expect that there are more. Topological data analysis provides a framework to describe such shapes in data. We will give a brief introduction to these ideas and show a few examples of circular and toroidal state spaces found in electrophysiological data. We will then discuss some of the challenges of these data, the approach and how pairwise maximum entropy models might help
