Sentence examples for neuron based on a from inspiring English sources

A computational model has been previously developed for the action potential and, more generally, the electrical behavior of the rat sympathetic neuron, based on a complex system in which five voltage-dependent conductances and the activating synaptic conductance coexist [23], [24].

The proposed model is a novel approach that improves upon the recently presented Modified PCNN (MPCNN) by introducing directional autowave control and accelerated firing of neurons based on a dynamic thresholding technique.

Here, we propose an approach for characterizing the stimulus-response function of auditory neurons based on a generalized linear model (GLM).

Therefore, our study provides a detailed classification of excitatory L6B neurons based on a quantitative analysis of their functional and structural parameters.

Toporikova et al. [9] recently designed a computational model for inspiratory pre-BötC neurons, based on an earlier model [13] that includes two different bursting mechanisms depending on (I_{mathrm{NaP}}) and intracellular (mathrm{Ca}^{2+}), respectively.

We present a single-compartment model of a CA3 hippocampal pyramidal neuron based on recent experimental data.

The proposed approach consists of a hybrid artificial neuron based on framework of mathematical morphology (MM) with algebraic foundations in the complete lattice theory (CLT), referred to as dilation-erosion perceptron (DEP).

(C ) Imaris Filament Tracer 3D reconstruction of the same motor neuron based on z-stacks of the Alexa Fluor 647 fill, with the ROIs in A and B overlaid.

A method for identifying neurons based on expression of a genetically-encoded reporter would provide a powerful and more general approach for probing the role of different neuronal populations in brain circuits.

We identified totally 2,172 NRSF target genes in ESC and 308 genes in ESC-derived neurons based on stringent criteria, with a small overlapping set of 40 genes, in which ubiquitin C-interacting proteins are accumulated.

These results indicate that classifying dopamine neurons based on their projection target is a viable approach, and lay a foundation for studying the mechanisms by which dopamine neurons are regulated.