Highlights•Relating network connectivity to dynamics poses a serious theoretical
challenge.•Network science concepts may have limited relevance in a neuroscience …

Тема исследования. Представлен обзор основных динамических моделей нейронной
активности и обсуждаются индивидуальные особенности их поведения, которые могут …

Topic. A review of the basic dynamical models of neural activity is presented and individual
features of their behavior are discussed, which can be used as a basis for the subsequent …

Brain connectivity at the single neuron level can provide fundamental insights into how
information is integrated and propagated within and between brain regions. However, it is …

The structure in cortical microcircuits deviates from what would be expected in a purely
random network, which has been seen as evidence of clustering. To address this issue, we …

Mean-field theory for networks of spiking neurons based on the so-called diffusion
approximation has been used to calculate certain measures of neuronal activity which can …

We consider the effects of correlations between the in-and out-degrees of individual neurons
on the dynamics of a network of neurons. By using theta neurons, we can derive a set of …

How the connectivity of cortical networks determines the neural dynamics and the resulting
computations is one of the key questions in neuroscience. Previous works have pursued two …

Mean field theory is a device to analyze the collective behavior of a dynamical system
comprising many interacting particles. The theory allows to reduce the behavior of the …

Low-voltage fast (LVF) seizure-onset is one of the two frequently observed temporal lobe
seizure-onset patterns. Depth electroencephalogram profile analysis illustrated that the peak …