Mathematical models for excitable cells are commonly based on cable theory, which considers a homogenized domain and spatially constant ionic concentrations. Although such models provide valuable insight, the effect of altered ion concentrations or detailed cell morphology on the electrical potentials cannot be captured. In this paper, we discuss an alternative approach to detailed modeling of electrodiffusion in neural tissue. The mathematical model describes the distribution and evolution of ion concentrations in a geometrically-explicit representation of the intra- and extracellular domains. As a combination of the electroneutral Kirchhoff-Nernst-Planck (KNP) model and the Extracellular-Membrane-Intracellular (EMI) framework, we refer to...
Nowadays, high-density microelectrode arrays provide unprecedented possibilities to precisely activa...
Objective. We present a computational method that implements a reduced set of Maxwell's equations to...
Abstract—Amplitudes and shapes of extracellular recordings from single neurons cultured on a substra...
Mathematical models for excitable cells are commonly based on cable theory, which considers a homoge...
Mathematical models for excitable cells are commonly based on cable theory, which considers a homoge...
AbstractIn neurophysiology, extracellular signals—as measured by local field potentials (LFP) or ele...
Many pathological conditions, such as seizures, stroke, and spreading depression, are associated wit...
Many pathological conditions, such as seizures, stroke, and spreading depression, are associated wit...
In neural structures with complex geometries, numerical resolution of the Poisson-Nernst-Planck (PNP...
Understanding the biological-electrical transduction mechanisms is essential for reliable neural sig...
The cable equation is a proper framework for modeling electrical neural signalling that takes place ...
This paper describes 3D Finite Element modelling solutions for a segment of a nervous cell axon, whi...
Electrical signaling in neurons is typically modeled using the cable equation, where dendrites or ax...
A methodology to build multi-compartment lumped elements equivalent circuits for the neuron/electro...
ABSTRACT A computational model is presented for the simulation of three-dimensional electrodiffusion...
Nowadays, high-density microelectrode arrays provide unprecedented possibilities to precisely activa...
Objective. We present a computational method that implements a reduced set of Maxwell's equations to...
Abstract—Amplitudes and shapes of extracellular recordings from single neurons cultured on a substra...
Mathematical models for excitable cells are commonly based on cable theory, which considers a homoge...
Mathematical models for excitable cells are commonly based on cable theory, which considers a homoge...
AbstractIn neurophysiology, extracellular signals—as measured by local field potentials (LFP) or ele...
Many pathological conditions, such as seizures, stroke, and spreading depression, are associated wit...
Many pathological conditions, such as seizures, stroke, and spreading depression, are associated wit...
In neural structures with complex geometries, numerical resolution of the Poisson-Nernst-Planck (PNP...
Understanding the biological-electrical transduction mechanisms is essential for reliable neural sig...
The cable equation is a proper framework for modeling electrical neural signalling that takes place ...
This paper describes 3D Finite Element modelling solutions for a segment of a nervous cell axon, whi...
Electrical signaling in neurons is typically modeled using the cable equation, where dendrites or ax...
A methodology to build multi-compartment lumped elements equivalent circuits for the neuron/electro...
ABSTRACT A computational model is presented for the simulation of three-dimensional electrodiffusion...
Nowadays, high-density microelectrode arrays provide unprecedented possibilities to precisely activa...
Objective. We present a computational method that implements a reduced set of Maxwell's equations to...
Abstract—Amplitudes and shapes of extracellular recordings from single neurons cultured on a substra...