Sentence examples for stimulus population from inspiring English sources

Exact(1)

These methods sample the stimulus (or mental-state) space more richly, estimate a separate response pattern for each stimulus, and can generalize from the stimulus sample to a stimulus population.

Similar(59)

The items, also called "stimuli" in psychometric jargon, are considered as replications: adding or deleting stimuli from the same stimulus-population at random would have no effect on procedure or results other than those due to the usual sampling fluctuations [ 26].

(A ) The fraction of information retained about the stimulus when population responses are replaced with the label of the cluster they belong to, plotted as a function of the number of clusters used.

Specifically, pairs of thalamic stimuli activated populations of cortical neurons that on average shared 60.2±10.5% of cells (n = 165 movie pairs).

Next, we examined how perceived sexual orientation varied as a function of stimulus characteristics and Population.

A particular stimulus synchronizes a population of cells by bringing the CRC in each cell to approximately the same phase.

In brief, the model proposes that the first stimulus activates a population of spatially tuned neurons.

Therefore, for a single presented stimulus the hypercolumn population response follows the same Gaussian function (Fig. 2b, thick solid line) (Pouget et al. 2000).

In order to further examine the relationship between these neural responses and the morph level of the stimulus, we calculated population averages across the neurons (n = 128).

(F ) Raster plots of evoked spiking for 10 trials aligned to the onset of an 8 ms light stimulus for the population of neurons under control conditions (left) and in the presence of Gbz (right).

The relationship between the SI index and the proportion of classifications of the Eff stimulus across the population of cells (Fig. 3A) shows a robust correlation between the SI of individual neurons and the classification of the AS image (r = 0.45, P = 0.0001, n = 67).

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