A Neural Circuits Perspective on Dynamics, Variability, and Computation

Brent Doiron develops a mathematical account of neural variability, from stochastic single-neuron models to balanced recurrent networks. The tutorial connects excitation, inhibition and network structure to population correlations, dimensionality, sensory estimation and decision dynamics. Changes across cognitive states help relate circuit mechanisms to computation.

11 March 2027, 13:00–17:00 in Montréal (America/Toronto). Select the tutorial add-on during main-meeting registration; places are limited and an additional fee applies.