Chimera states, namely the coexistence of coherent and incoherent behavior, were
previously analyzed in complex networks. However, they have not been extensively studied …

Neurons can be excited and inhibited by filtered signals. The filtering properties of neural
networks have a huge impact on memory, learning, and disease. In this paper, the frequency …

Objective. Transcranial photobiomodulation (tPBM) has shown promising benefits, including
cognitive improvement, in healthy humans and in patients with Alzheimer's disease. In this …

We have performed the comparative spectral analysis of structural connectomes for various
organisms using open-access data. Our results indicate new peculiar features of …

A great deal of research has been devoted on the investigation of neural dynamics in
various network topologies. However, only a few studies have focused on the influence of …

Brain plasticity, also known as neuroplasticity, is a fundamental mechanism of neuronal
adaptation in response to changes in the environment or due to brain injury. In this review …

This work uses an information-based methodology to infer the connectivity of complex
systems from observed time-series data. We first derive analytically an expression for the …

In this paper, we focus on the emergence of diverse neuronal oscillations arising in a mixed
population of neurons with different excitability properties. These properties produce mixed …

We study the capacity of Hodgkin–Huxley neuron in a network to change temporarily or
permanently their connections and behavior, the so called spike timing-dependent plasticity …

Betweenness centrality of a set of vertices is a measure of centrality in a graph based on the
notion of geodesics between vertices. Starting from betweenness centrality of vertices a …