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 …

Technological advances in imaging techniques and biometric data acquisition have enabled
us to apply methods of network science to study the morphology and structural design of …

Coupled biological and chemical systems, neural networks, social interacting species, the
Internet and the World Wide Web, are only a few examples of systems composed by a large …

Hydrogel matrices are valuable platforms for neuronal tissue engineering. Orienting gel
fibers to achieve a directed scaffold is important for effective functional neuronal …

In recent years, the analysis and modeling of networks, and also networked dynamical
systems, have been the subject of considerable interdisciplinary interest, yielding several …

SpiNNaker is a novel chip-based on the ARM processor-which is designed to support large
scale spiking neural networks simulations. In this paper we describe some of the features …

Networks of living neurons exhibit an avalanche mode of activity, experimentally found in
organotypic cultures. Here we present a model that is based on self-organized criticality and …

To understand the mind and its place in Nature is one of the great intellectual challenges of
our time, a challenge that is both scientific and philosophical. How does cognition influence …

We show that the correlation between the frequency of subthreshold pacemaker activity and
the response of an excitable array is resonantly dependent on the intensity of additive …

In temporal lobe epilepsy, changes in synaptic and intrinsic properties occur on a
background of altered network architecture resulting from cell loss and axonal sprouting …