The field of network neuroscience has emerged as a natural framework for the study of the
brain and has been increasingly applied across divergent problems in neuroscience. From a …

The study of the hippocampal code is gaining momentum. While the physiological approach
targets the contribution of individual cells as determined by genetic, biophysical and circuit …

The wiring architecture of neuronal networks is assumed to be a strong determinant of their
dynamical computations. An ongoing effort in neuroscience is therefore to generate …

This article surveys the interdisciplinary research of neuroscience, network science, and
dynamic systems, with emphasis on the emergence of brain-inspired intelligence. To …

This article is part of the Physical Review Research collection titled Physics of
Neuroscience. Neural computation in biological and artificial networks relies on the …

Recent developments in experimental techniques have enabled simultaneous recordings
from thousands of neurons, enabling the study of functional cell assemblies. However …

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 …

A common approach for analyzing hypergraphs is to consider the projected adjacency or
Laplacian matrices for each order of interactions (eg, dyadic, triadic, etc.). However, this …

Capturing how the Caenorhabditis elegans connectome structure gives rise to its neuron
functionality remains unclear. It is through fiber symmetries found in its neuronal connectivity …

Identifying network architecture from observed neural activities is crucial in neuroscience
studies. A key requirement is knowledge of the statistical input-output relation of single …