Sentence examples for modeling of neuronal from inspiring English sources

Torben-Nielsen, B. & De Schutter, E. Context-aware modeling of neuronal morphologies.

Computational modeling of neuronal morphology, microcircuit organization, and neural networks reveals that wiring economy is a significant determinant of nervous system layout.

The objective of this paper is to present a numerical study of a class of boundary value problems of singularly perturbed differential difference equations (SPDDE) which arise in computational neuroscience in particular in the modeling of neuronal variability.

For this reason, results establishing a non-monotonic transfer function with a maximal output at intermediate input are of high significance for the modeling of neuronal assemblies (Kuhn et al. 2004).

We took advantage of a recently reported method for spatial normalization and statistical three-dimensional modeling of neuronal populations [17] in order to address the question of a possible functional segregation of NTS neurons.

We next performed computer modeling of neuronal circuits, to investigate whether and how interneuronal membrane resonance could be related to the observed properties of the recorded data.

The fact that PC12 cells use a hybrid terminal for neurite elongation makes them remarkably different to neurons, which questions their utility as models of neuronal growth cones.

Developing NGF-dependent sympathetic neurons are a very well characterised model of neuronal apoptosis.

The mouse neuroblastoma-derived Neuro2A cell line, a widely used model of neuronal physiology, presents simpler morphology than primary hippocampal neurons, enabling high-resolution quantitative measure of cellular structure and biomechanical characteristics.

By integrating experimental measurements into a computational model of neuronal function, we can predict the effects of mutations on neurons in silico.

The sympathetic neuron model is one of the best studied models of neuronal apoptosis.