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For example, if neurons within a module have independent noise, then general population coding considerations (Dayan and Abbott, 2001) show that σ = βd−1/2 l, where l is a measure of grid field width, d is the density of neurons in a module, and β is a dimensionless number that depends on noise (given the integration time) and tuning curve shape.and tuning curve shape.
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To measure the similarity of grid firing between the two compartments, we calculated a Pearson product-moment correlation coefficient comparing firing rates in equivalent bins in the rate maps of the two compartments.
Thickness of vitreous ice was measured from each type of grid that was prepared under the same vitrification condition (Figure 2).
We first measure memory usage and overhead of grid partition.
where N is the total number of grid cells measured, and V P, V S, ϕ, and α indicate the respective set of variables VP, VS, ϕ, and α for the observed grid cells i=1,…N.
Giocomo et al. (2011a) reported the ratios between the grid period and the radius of grid field (measured as the radius of the circle around the center field of the autocorrelation map of the grid cells) to be 3.26 ± 0.07 and 3.32 ± 0.06 for Wild-type and HCN KO mice, respectively.
Nevertheless, these measures are more likely an expression of grid constraints than of insufficient generation capacity [24].
Assessing the suitability of solutions among these congestion management measures (CMMs) requires a realistic modeling of grid operation, energy system structures and the behavior of the owners of DER and flexibility options.
These predictions naturally explain the structural parameters of grid cell modules measured in rodents (Barry et al., 2007; Giocomo et al., 2011a; Stensola et al., 2012).
We'll need electronic controls, switch gears, inverters, and rectifiers that can give industrial, commercial, and residential users some measure of independence from the central grid.
Therefore, for exploratory purposes, we applied an alternative measure of central bias for each grid cell based on a two-dimensional Gaussian distribution centered over the image center.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com