The complexity of many biological, social and technological systems stems from the richness
of the interactions among their units. Over the past decades, a variety of complex systems …

The number of network science applications across many different fields has been rapidly
increasing. Surprisingly, the development of theory and domain-specific applications often …

Background: Analysis of the human connectome using functional magnetic resonance
imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to …

This report is the second part of a comprehensive two-part series aimed at reviewing an
extensive and diverse toolkit of novel methods to explore brain health and function. While …

Goal: We present and evaluate a wearable high-density dry-electrode EEG system and an
open-source software framework for online neuroimaging and state classification. Methods …

This work formalizes the associational task of predicting node attribute evolution in temporal
graphs from the perspective of learning equivariant representations. We show that node …

Creative ideas likely result from searching and combining semantic memory knowledge, yet
the mechanisms acting on memory to yield creative ideas remain unclear. Here, we …

Problems involving multiple networks are prevalent in many scientific and other domains. In
particular, network alignment, or the task of identifying corresponding nodes in different …

Associative theories of creativity argue that creative cognition involves the abilities to
generate remote associations and make useful connections between unrelated concepts in …

Stroke has long been regarded as focal disease with circumscribed damage leading to
neurological deficits. However, advances in methods for assessing the human brain and in …