In this paper we provide theoretical and numerical analysis of a geometric activity flow network model which is aimed at explaining mathematically the scale-free functional graph s...
3D representations of human physiology provide interesting options in the field of education. Understanding the human brain seems to be much easier when the anatomical structure is...
Graph-theoretic abstractions are extensively used to analyze massive data sets. Temporal data streams from socioeconomic interactions, social networking web sites, communication t...
Abstract. Despite the great amount of knowledge produced by the neuroscientific literature affective phenomena, current models tackling noncognitive aspects of behavior are often b...
Marco Mirolli, Francesco Mannella, Gianluca Baldas...