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 study of complex systems deals with emergent behavior that arises as a result of
nonlinear spatiotemporal interactions between a large number of components both within …

In this study, for the first time, we explored a dataset of functional magnetic resonance
images collected during focused attention and open monitoring meditation before and after …

Graph-structured data are an integral part of many application domains, including
chemoinformatics, computational biology, neuroimaging, and social network analysis. Over …

Functional magnetic resonance imaging (fMRI) offers a rich source of data for studying the
neural basis of cognition. Here, we describe the Brain Imaging Analysis Kit (BrainIAK), an …

The brain is an extraordinarily complex system that facilitates the optimal integration of
information from different regions to execute its functions. With the recent advances in …

Attention-deficit/hyperactivity disorder (ADHD) is a developmental disorder characterized by
difficulty to control the own behavior. Neuroimaging studies have related ADHD with the …

Directed graphs are ubiquitous models for networks, and topological spaces they generate,
such as the directed flag complex, have become useful objects in applied topology. Here the …

In a series of lectures given in 2003, soon after receiving the Fields Medal for his results in
the Algebraic Geometry, Vladimir Voevodsky (1966–2017) identifies two strategic goals for …

Persistent homology enables fast and computable comparison of topological objects. We
give some instances of a recent extension of the theory of persistence, guaranteeing …