Sentence examples for model the neuron from inspiring English sources

In the response-averaging model, the neuron responds with a weighted average of all individual stimuli.

In the response-averaging model, the neuron responds to a weighted average of stimuli, and the model does not follow a probability mixture.

In the response-averaging model, the neuron responds with a weighted average of responses to single stimuli, (sum_{k} beta_{k} I_{k}(t)), with (beta_{k}) being the weights, and (sum_{k}beta_{k}=1).

The jth ISI of the ith spike train is then given by (t^{i}_{j+1}-t^{i}_{j}). Assume that each measured spike train, i.e., each trial, is sufficiently short, such that, under the probability-mixing model, the neuron is only responding to one stimulus within the stimulus mixture, not switching the response within the trial.

Regarding this issue, note that the precise form of the function inside the integral of Eq. (5) depends on how we model the neuron's two-dimensional tuning over the orientation and the spatial frequency.

In this model, the neuron soma ("the fish") may pull out the axon ("the line") as the cell body moves away from an initial attachment point.

By our current model, the neurons entirely avoid both isoforms of Bak: the mRNA for BH1-3 Bak is removed by complete alternative splicing, and the resulting mRNA for BH3-only N-Bak is translationally completely repressed.

An ambitious model of the neuron concluded the DE modeling segment of the second term, approximately one-third of the course.

Fig. 11 Response surface of the model and the neuron corresponding to the highest response value.

According to the probability-mixing model [9], the neuron responds to only one stimulus at any given time with certain probabilities.

Mathematical model of the neuron is constructed on the basis of functional neuron as a central element of human nervous system, whose task is to transform information from one neuron to the others.