Monday 03 Dec 2018: Dynamics Seminar: Low-dimensional dynamics of cortical networks explaining slow-wave activity
Maurizio Mattia - Istituto Superiore di Sanita
The computational power of neuronal networks relies on the richness of the dynamical repertoire they are capable to express. This complexity can be effectively captured by suited dynamical mean-field theories for the pooled spiking activity of neuronal assemblies. Here, I will briefly summarize how an effective low-dimensional nonlinear dynamics of cortical assemblies can be worked out. This framework will be then used to describe the alternation between high-firing (Up) and almost quiescent (Down) states observed in the intact brain during slow-wave sleep and deep anaesthesia, but also in the extreme condition of brain slices maintained in vitro. The footprints of such nonlinear dynamics will be shown in both in vitro and in vivo experiments where hysteresis loops with heterogeneous size arise in layer 5 as response to the input received from layer 6; and where Up/Down oscillations spontaneously organize in travelling slow waves shaped by the underlying cortical network structure.