Network science is today established as a backbone for description of structure and function
of various physical, chemical, biological, technological, and social systems. Here we review …

Modelling the human brain as a complex network has provided a powerful mathematical
framework to characterize the structural and functional architectures of the brain. In the past …

Defining the organizational principles of neuronal networks at the cellular scale, or micro-
connectomics, is a key challenge of modern neuroscience. In this Review, we focus on …

Activity-dependent self-organization plays an important role in the formation of specific and
stereotyped connectivity patterns in neural circuits. By combining neuronal cultures, and …

Inverse Stochastic Resonance (ISR) is a phenomenon in which the average spiking rate of a
neuron exhibits a minimum with respect to noise. ISR has been studied in individual …

Understanding the mechanisms by which neurons create or suppress connections to enable
communication in brain-derived neuronal cultures can inform how learning, cognition and …

The analysis of the activity of neuronal cultures is considered to be a good proxy of the
functional connectivity of in vivo neuronal tissues. Thus, the functional complex network …

Cultured neuronal networks (CNNs) have recently achieved major relevance as an
alternative to in vivo models. While many works investigate the evolution of functional …

Digital reconstruction has been instrumental in deciphering how in vitro neuron architecture
shapes information flow. Emerging approaches reconstruct neural systems as networks with …

We explore the consequences of introducing higher-order interactions in a geometric
complex network of Morris-Lecar neurons. We focus on the regime where traveling …