The Zamolodchikov tetrahedron equation inherits almost all the richness of structures and
topics in which the Yang–Baxter equation is involved. At the same time, this transition …

Neurons are interactive cells that connect via ions to develop electromagnetic fields in the
brain. This structure functions directly in the brain. Connectome is the data obtained from …

Recent advances in neuroscience have enabled the exploration of brain structure at the
level of individual synaptic connections. These connectomics datasets continue to grow in …

Scientific discovery in connectomics relies on network null models. The prominence of
network features is conventionally evaluated against null distributions estimated using …

Ensemble models of graphs are one of the most important theoretical tools to study complex
networks. Among them, exponential random graphs (ERGs) have proven to be very useful in …

We analyze maximum entropy random graph ensembles with constrained degrees, drawn
from arbitrary degree distributions, and a tuneable number of three-cycles (triangles). We …

The meta-analysis proposed in this study combines data from neuroscience, network
science, pragmatics and cognitive linguistics in an attempt to determine the structures that …

In this study, we explore the fundamental principles behind the architecture of the human
brain's structural connectome, from the perspective of spectral analysis of Laplacian and …

The information content of EEG recordings, which are widely used and important for
assessing the functional activity of the brain, is significantly increased by the use of …

We analyze maximum entropy random graph ensembles with constrained degrees, drawn
from arbitrary degree distributions, and a tuneable number of 3-loops (triangles). We find …