Sentence examples for count correlation from inspiring English sources

The spike count correlation coefficient (rsc) was calculated for pairs of neurons during the time window of visual stimulation (temporal duration 2 s) as follows.

We sorted the CRPs chronologically, and calculated the trial by trial, spike count correlation across pairs of simultaneously recorded neurons (N = 2385 pairs), assigned to the different CRPs.

The tumoral vascular area shown higher correlation to survival (correlation coefficient: – 0.48 / P = 0.001) than the tumoral microvessel count (correlation coefficient: – 0.2 / P = 0.03).

Since the area under the cross correlation curve is related to spike count correlation, we aimed at elucidating plausible excitatory and inhibitory interactions among neurons categorized to different CRPs by separating positive from negative noise correlations (Fig. 6c), respectively28,42.

It should be emphasized that CRPs obtained from NNMF are difficult to be inferred from a visual inspection of Fig. 5. Single units displaying similar response types34 or high temporal rate correlation35 have been shown to display positive spike count correlation.

As expected, pairs of units preferring the same stimulus (s-stim, N = 93 pairs) or categorized to the same CRP (s-crp, N = 688 pairs), displayed strong spike count correlation (mean rsc-s-crp = 0.1051 ± 0.0076, mean rsc-s-stim = 0.0891 ± 0.0155, Fig. 8).

The matrix displayed in Figure 6a depicts the average spike count correlations obtained across the various combinations of units categorized to the five different CRPs.

Further, the structure of spike count correlations among neurons clustered to the various CRPs displayed a functional organization akin to orientation selective neurons in primary visual cortex, and these correlations were similar across task conditions28.

Most importantly, spike count correlations were significantly stronger between pairs of units, which preferred the same stimulus or were categorized to the same CRP as compared to the correlations when each neuron comprising the pair came from two different populations suggesting that these neuronal pools are functionally segregated.

Lastly, given the ability of spike count correlations to indicate functional segregation of neuronal populations, we assessed if neurons categorized to the various CRPs are functionally segregated from the population of feature selective units that was described in detail in the past11 (Supplementary Figs. 1 and 7).

Measuring a vanishing correlation coefficient or vanishing covariance between two neuronal spike counts would in this case imply true statistical independence, because only in the case of multivariate Gaussian distribution is it permissible to conclude independence from vanishing count correlations.