Identifying the impact of local connectivity features on network dynamics
Yuxiu Shao, David Dahmen, Stefano Recanatesi, Eric Shea-Brow, Srdjan Ostojic · Bernstein Conference 2024
Understanding how connectivity structure shapes network dynamics is paramount in the field of neuroscience. Theoretical investigations of multi-population neuronal networks often consider statistically homogeneous populations and incorporate either only the population-averaged mean or i.i.d. fluctuations in synaptic couplings. A newly released synaptic physiology dataset highlighted the strong presence of motifs – specific connectivity patterns between pairs and triplets of neurons–beyond the scope of mean connectivity[1] However, it is a priori not clear which of the experimentally identifie