Sentence examples for simulation of neuronal from inspiring English sources

Initially focused on electrical processes, the simulation of neuronal function now encompasses signalling pathways and ion diffusion.

The coupling of reaction kinetics with single particle diffusion and realistic spatial representation now allows the simulation of neuronal signalling at a level of detail only dreamt of before [ 17].

We have demonstrated by detailed simulation of neuronal development how the experimentally observed superficial patch system of the neocortex can arise on the basis of the quasi-periodic spatial patterns produced by a Gierer Meinhardt type reaction diffusion system.

"The NEURON simulation environment is a commonly used tool to perform electrical simulation of neurons and neuronal networks.

To achieve this goal, we built synthetic spike trains originated by the simulations of neuronal network models made up of spatially distributed and synaptically connected neurons (described by the Izhikevich equations [25]), and we represented the topology of these neuronal network models by a Synaptic Weight Matrix (SWM).

SimToolDB provides an accessible location for storing and efficiently retrieving tools which aid simulations of neuronal and network compartmental models.

We also conducted computer simulations of neuronal responses to the experimental stimulus trains using a biophysical model of the thalamic network.

Equation (1) can achieve simulations of neuronal time histories (with the appropriate parameter values) and it has solutions with the qualitative features observed in SR described earlier.

Simulations of neuronal circuitry demonstrate that membrane properties of inhibitory interneurons strongly determine the characteristics of emergent oscillations.

We performed simulations of neuronal membrane potential dynamics using a single-compartment Connor Stevens model (original model described in Connor et al., 1977; parameters taken from Dayan and Abbott 2005): C m d V d t = I C − I L − I N a − I K − I A = I C − g ¯ L · (V − E L ) − g ¯ N a · m 3 h · (V − E N a ) − g ¯ K · n 4 · (V − E K ) − g ¯ A · a 3 b · (V − E A ).

Here, we used numerical simulations to predict the stimulation of neuronal fibers induced by microelectrodes and macroelectrodes placed in different positions with respect to each other.