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Contrast to the object hypothesis, however, two recent studies implied that VWM may only select the target dimension of the objects without selecting the irrelevant dimensions (feature hypothesis).
Indeed, this hypothesis also gets direct support from behavioral [1], [12], [22], [31], [32], ERP [33] [35] and fMRI [36] studies, by demonstrating that the irrelevant feature dimension (e.g., shape, orientation) is also encoded into VWM even only one target dimension of the objects needs to be maintained.
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Debris items >5 cm were then manually sorted into 5 10 cm, 10 50 cm, and >50 cm classes by measuring the object lengths (widest dimension of the object) with a ruler.
The material is supplied by external means and can be varied to modify the nanostructure's composition, and the dimension of the object can be very small.
A scale bar, which can be the absolute measurement of a line section on the object, is used to scale the relative measurement of a dimension of the object in an absolute unit of measurement.
Let x ∈ R d represents an object in the dataset X and x i be the i-th dimension of the object x.
It is the dimension of the object required to separate any part of the original set from the rest, plus one.
To create each shape pattern, an image of each object was sized and discretized so that the largest dimension of the object, either vertical or horizontal, fit to the edges of a 64 × 64 grid.
As shown in Figure 3, these units can be divided into two groups: the visible variables, v ∈ {0,1}| v |, and the hidden variables, h ∈ {0,1}| h | (|·| gets the dimension of the object inside it).
We have applied our algorithm to real scenes that include transparent objects and recovered the shapes and dimensions of the objects with high accuracy.
However, as long as the physical dimensions of the objects that light encounters (and the apertures through which it passes) are significantly greater than the wavelength of the electromagnetic wave, there is no need for the mathematical formalism of the wave model.
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