Multi-unit examples of post-stimulus time histograms (PSTHs) for clicks at different repetition rates (1 38 Hz for many recording sites but up to 250 Hz presented 15 times; see Materials and Methods) reveal different response behaviors for VS and FR measures (Figs. 1A, S1A, S1B).
The above methods reveal different insights into the robustness of distinct system properties, for example bifurcation analysis can determine the exact space of the parameters giving desired system performance (e.g. periodic solution for oscillator) [25] [27], while CA and IRC can quantify the dynamic changes of the system in applied differentiated perturbations [9], [34] [36].
The union rather than the intersection of the two approaches was taken because the two methods reveal different aspects of the data and are thus complementary.
Although both ReHo and ALFF/fALFF measure the local activity of each voxel, many studies used the two measurements and suggested that the two methods reveal different aspects of brain function and abnormalities arising in clinical populations [ 20– 23].
This method revealed different variance profiles between the traits.
Because each method reveals different aspects of empirical reality, multiple methods of assessment are employed to ensure the trustworthiness of findings.
Analysis of the relative intensities between the two staining methods revealed that different inositol pyrophosphate species have different DAPI photobleaching capacity.
Whereas immunocytochemistry of fixed, permeabilized and non-permeabilized cells yielded evidence of both cell surface membrane and cytoplasmic expression and topographical distribution of native CCN3, ELISA method and western immunoblot revealed different possible conformational forms of CCN3.
Differential extraction methods combined with LC-MS/MS revealed different classes of soluble and membrane-associated proteins.
The hierarchical clustering obtained from pairwise similarities, where accessions were colour coded according either to the three INSTRUCT groups or to the six DAPC groups, showed that the different methods reveal somewhat different clustering, SNP hierarchical clustering being the most congruent with INSTRUCT or DAPC groupings.
