Sentence examples for models for neurons from inspiring English sources

In general, mathematical models for neurons are of this type.

We consider two recent models for neurons in the pre-BötC.

We have considered how certain constrained, positive inputs should be timed to yield maximal numbers of spikes in the LIF and theta models for neurons.

Now that we have introduced some oscillator models for neurons and neural populations it is appropriate to consider the set of tools for analysing their behaviour at the network level.

Nonlinear Noisy Leaky Integrate and Fire (NNLIF) models for neurons networks can be written as Fokker-Planck-Kolmogorov equations on the probability density of neurons, the main parameters in the model being the connectivity of the network and the noise.

Several kinds of well-established cell models for neuron cell exocytosis study have been widely used for this kind of study.

Unlike models for neuron-specific degenerative diseases, the stab wound affects not only mature neurons, but also on other surrounding structures, such as the meninges, roof plate, blood vessels, and radial glial cells in the dorsolateral domain of the adult zebrafish telencephalon.

We modify this model for neurons that have broader action potentials or those for which the burst envelope instead of individual spikes are modeled.

To take just one example, a standard model for neuron response assumes that activation is a nonlinear function of a weighted sum of the inputs.

To understand the mechanisms underlying the generation of sighs, we considered two distinct single-compartment models for respiratory neurons in the pre-BötC that have the ability to generate sigh-like activity.

However, as we used PC12 cells, frequently used as a model cell for neurons, we have more chance to identify neuron-specific genes.