We deal with the problem of bridging the gap between two scales in neuronal modeling. At
the first (microscopic) scale, neurons are considered individually and their behavior …

Metastability refers to the fact that the state of a dynamical system spends a large amount of
time in a restricted region of its available phase space before a transition takes place …

Despite of its success in understanding brain rhythms, the neural mass model, as a low-
dimensional mean-field network model, is phenomenological in nature, so that it cannot …

The conductance-based refractory density (CBRD) approach is an efficient tool for modeling
interacting neuronal populations. The model describes the firing activity of a statistical …

The relationship between the extracellularly measured electric field potential resulting from
synaptic activity in an ensemble of neurons and intracellular signals in these neurons is an …

We present a biophysical approach for the coupling of neural network activity as resulting
from proper dipole currents of cortical pyramidal neurons to the electric field in extracellular …

Mathematical modeling of neuronal dynamics has experienced a fast growth in the last
decades thanks to the biophysical formalism introduced by Hodgkin and Huxley in the …

Любая физиологическая система способна адаптироваться к постоянно изменяющимся
условиям среды, в силу чего ее физиологическим показателям свойственна …

Pharmacoresistant epilepsy is a common neurological disorder in which increased neuronal
intrinsic excitability and synaptic excitation lead to pathologically synchronous behavior in …

A firing rate (FR) model for a population of adaptive leaky integrate-and-fire neurons has
been proposed. Unlike known FR models, it describes more precisely the unsteady firing …