Whisker Lengths
Whisker Lengths - Related Videos
09:26
Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation
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Cited by 4 •
2019
After checking by blood-oxygen-level-dependent functional magnetic resonance imaging (BOLD fMRI) that the corresponding somatosensory barrel field cortex area (called S1BF) is correctly activated, the main goal of this study is to quantify lactate content fluctuations in the activated rat brains by localized proton magnetic resonance spectroscopy (1H-MRS) at 7 T.
10:14
Whisker-signaled Eyeblink Classical Conditioning in Head-fixed Mice
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Cited by 8 •
2016
The preparation presented here for whisker-signaled eyeblink conditioning in head-fixed mice precisely stimulates specific whiskers while allowing mice to ambulate on a cylindrical treadmill. A whisker stimulation conditioned stimulus (CS) paired with a periorbital shock unconditioned stimulus (US) results in reliable associative learning on this apparatus.
01:10
Interference: Path Lengths
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2023
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same. Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
03:28
Functional Magnetic Resonance Spectroscopy of the Rat Barrel Cortex During Whisker Stimulation
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2025
Source: Blanc, J., et al. Functional Magnetic Resonance Spectroscopy at 7 T in the Rat Barrel Cortex During Whisker Activation. J. Vis. Exp. (2019)This video demonstrates the method of analyzing metabolic changes in the rat barrel cortex using functional magnetic resonance spectroscopy during whisker stimulation. Baseline metabolite spectra are compared with stimulated spectra to detect lactate increase in the barrel cortex, confirming successful neuronal activation.
02:49
Bond Energies and Bond Lengths
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2020
Stable molecules exist because covalent bonds hold the atoms together. The strength of a covalent bond is measured by the energy required to break it, that is, the energy necessary to separate the bonded atoms. Separating any pair of bonded atoms requires energy — the stronger a bond, the greater the energy required to break it. The energy required to break a specific covalent bond in one mole of gaseous molecules is called the bond energy or the bond dissociation energy. The bond energy for a...
FAQs
The rule places a lower boundary 1.5 interquartile ranges below the first quartile and an upper boundary the same distance above the third quartile. The whiskers then extend to the most extreme observed values that remain within those boundaries. Observations beyond them are treated as potential outliers, so the whiskers do not necessarily end at the overall minimum and maximum.
Unequal whisker lengths indicate that the data extend different distances from the lower and upper quartiles. This imbalance can reveal asymmetry in the distribution, while a particularly extended whisker may signal greater spread on one side. Comparing the two lengths therefore adds information beyond the box itself and helps describe how the distribution extends around its middle 50%.
The interquartile range describes the width of the box, or the middle 50% of the data, whereas whisker lengths describe extension beyond each quartile toward the permitted endpoints. Using both measures separates central spread from outer spread. A data set may have a similar middle range to another but different whisker lengths, revealing a different overall pattern.
Read the lower quartile, upper quartile, and the two whisker endpoints from the plot. Subtract the lower quartile from the lower endpoint to obtain the lower whisker length. For the upper side, subtract the upper quartile from the upper endpoint. Keeping the lower and upper calculations separate preserves information about possible asymmetry.
Place the plots side by side and compare the lower and upper whisker lengths, rather than relying only on the boxes. Longer whiskers indicate that observations extend farther beyond the corresponding quartile, while unequal lengths can show different distributional shapes. This visual comparison supports concise analysis of spread and asymmetry across data sets.
Whisker lengths show how far observations extend outside the central box, which helps reveal whether data are concentrated near the middle or spread toward an endpoint. Under the 1.5-interquartile-range convention, observations beyond the whisker limits appear as potential outliers. The resulting plot links visual patterns of clustering and unusual values to numerical quartile-based limits.