Topic: triangular cyclic correlations

Models of recurrent neural networks provide fundamental insights about the interplay between structure and dynamics in biological neural networks. Most previous work focused on networks with random or simple connectivity structures, yet experiments show that overrepresented motifs shape the patterns of network activity. A theory relating such complex connectivity structures to network dynamics and function is lacking. Here, we show that third and higher-order correlations in synaptic connectivities have a large impact on neuronal dynamics. Strong triangular cyclic correlations in a network su