Sara A. Solla – Northwestern University
Wednesday, May 1st, 10:45AM EDT
A mean-field theory for heterogeneous networks of spiking neurons
Mean-field theory links the physiological properties of individual neurons to the emergent dynamics of neural populations. A novel approach allows us to study the properties of networks of Izhikevich spiking neurons composed of distinct subpopulations. Phase diagrams based on bifurcation analysis identify the various macroscopic dynamical regimes that arise at the population level and their relation to the underlying microscopic neural heterogeneity. As an example, our results indicate that the level of heterogeneity of inhibitory populations controls resonance and hysteresis properties of systems of coupled excitatory and inhibitory neurons.