A Summary: Mathematical models of the cardiac cell have started to include markovian representations of the ionic channels instead of the traditional Hodgkin & Huxley formulations. There are many reasons for this: Markov models are not restricted to the idea of independent gates defining the channel, they allow more complex description with specific transitions between open, closed or inactivated states, and more importantly those states can be closely related to the underlying channel structure and conformational changes. Methods: We used the LabVIEW (R) and MATLAB (R) programs to implement the simulator MarkoLAB that allow a dynamical 3D representation of the markovian model of the channel. The Monte Carlo simulation was used to implement...
We consider the Bayesian analysis of mechanistic models describing the dynamic behavior of ligand-ga...
The development of modeling structures at the channel level that can integrate subcellular and cell ...
The most cell electrophysiological models are not able to predict the channel state, which it can be...
Mathematical models of the cardiac cell have started to include markovian representations of the ion...
Markov models of ion channel dynamics have evolved as experimental advances have improved our unders...
Markov models (MMs) represent a generalization of Hodgkin-Huxley models. They provide a versatile st...
Ion channels are membrane proteins that open and close at random and play a vital role in the electr...
Ion channels are membrane proteins that open and close at random and play a vital role in the electr...
When simulating the macroscopic current flowing through cardiac ion channels, two mathematical form...
Flow of ions through voltage gated channels can be represented theoretically using stochastic differ...
The behaviour of ion channels within cardiac and neuronal cells is intrinsically stochastic in natur...
The behaviour of ion channels within cardiac and neuronal cells is intrinsically stochastic in natur...
AbstractThe behaviour of ion channels within cardiac and neuronal cells is intrinsically stochastic ...
Abstract. The cardiac cell is a complex biological system where various processes interact to genera...
This thesis studies numerical methods for integrating the master equations describing Markov chain m...
We consider the Bayesian analysis of mechanistic models describing the dynamic behavior of ligand-ga...
The development of modeling structures at the channel level that can integrate subcellular and cell ...
The most cell electrophysiological models are not able to predict the channel state, which it can be...
Mathematical models of the cardiac cell have started to include markovian representations of the ion...
Markov models of ion channel dynamics have evolved as experimental advances have improved our unders...
Markov models (MMs) represent a generalization of Hodgkin-Huxley models. They provide a versatile st...
Ion channels are membrane proteins that open and close at random and play a vital role in the electr...
Ion channels are membrane proteins that open and close at random and play a vital role in the electr...
When simulating the macroscopic current flowing through cardiac ion channels, two mathematical form...
Flow of ions through voltage gated channels can be represented theoretically using stochastic differ...
The behaviour of ion channels within cardiac and neuronal cells is intrinsically stochastic in natur...
The behaviour of ion channels within cardiac and neuronal cells is intrinsically stochastic in natur...
AbstractThe behaviour of ion channels within cardiac and neuronal cells is intrinsically stochastic ...
Abstract. The cardiac cell is a complex biological system where various processes interact to genera...
This thesis studies numerical methods for integrating the master equations describing Markov chain m...
We consider the Bayesian analysis of mechanistic models describing the dynamic behavior of ligand-ga...
The development of modeling structures at the channel level that can integrate subcellular and cell ...
The most cell electrophysiological models are not able to predict the channel state, which it can be...