Estimating engagement in rhythmic subcircuits

We published a new paper on a modeling approach that robustly captures and predicts neuronal engagement in rhythmic processes at millisecond resolution. In future work, we will be using our new analytic tools to characterize dynamic participation of different cell types in rhythmic subcircuit interactions across different behavioral states.