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We then measured the percentage of neurons spontaneously firing with a bi-exponential ISI distribution across different experiments; this percentage was positively correlated to the network correlation coefficient in both leech (n = 15, r = 0.76, Figure 4C) and hippocampal network (n = 10, r = 0.85, Figure 4D), indicating that bursts were associated to an increase in correlation.
Network correlation analyses suggested that these metabolic changes were synchronized in a time-dependent manner in response to the pathogen.
A generalized neural network correlation for condensation heat transfer coefficient of alternative refrigerant R600a inside horizontal tube has been developed in this paper.
We find that the exclusion of the network correlation effect results in the underestimation of other important variables such as education and skill.
A neural network correlation, RAD-NNET, is developed to simulate the realistic effect of non-gray radiative absorption by a homogeneous mixture of combustion gases (CO2 and H2O) and soot using numerical data generated by RADCAL.
A generalized neural network correlation for boiling heat transfer coefficient of R22 and its alternative refrigerants R134a, R407C and R410A inside horizontal smooth tubes has been developed in this paper.
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The results indicate that the model-based neural network correlations have better overall performance.
The dependence of network correlations on the neuron's firing rates has been the subject of extensive investigations in recent years [57 59].
Interesting events in the video evoke a vigorous response by the retina, characterized by strong network correlations.
For example, the strength of network correlations generated by divergent synaptic output from a single presynaptic neuron depends directly on CSS.
Within the network, correlations between estimated rates for each node and the mean estimated rates for their immediate neighbors were estimated using Spearman's ρ.
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