The spatiotemporal complexity of the activity expressed by the cerebral cortex is a highly revealing feature of the underlying network’s state. Quantifying cortical complexity can be achieved by pertu
Deriving Bayesian inference for exponential random graph models (ERGMs) is a challenging “doubly intractable” problem as the normalizing constants of the likelihood and posterior density are both intr
This is the R-script to replicate the analyses of the paper "Exponential Random Graph Modelling to analyze interactions in participatory practices of place branding." The paper was first presented at
Recent empirical evidence reveals that creative idea generation builds upon an interplay of multiple neural networks. Measures of temporal complexity yield important information about the underlying m
