Sentence examples for representation of quantity from inspiring English sources

It was found that the intraparietal sulcus (IPS) was systematically activated in all number tasks and therefore it was concluded that it can host a central amodal representation of quantity.

The observed bilateral parietal activation surrounding the entire intraparietal sulcus (IPS) replicates part of a neural network previously found in (arithmetic or algebraic) calculation tasks [4] [7] and is proposed to host a central amodal representation of quantity.

Other researchers, however, have proposed that the IPS hosts an amodal representation of quantity [ 16, 19].

Specifically, some researchers have proposed that the IPS hosts an amodal representation of quantity, which has been referred to as the 'mental number line' [ 13, 14].

In addition, recent studies (discussed further below) have suggested that dyscalculic children show numerical deficits at an even lower level, that of the representation of quantity and/or the ability to link quantity to symbolic representations of number.

It was confirmed that an area in the left IPS to which the number-selective representation of quantity has been ascribed shows a different functional connectivity with visual and number-sensitive areas for symbolic versus nonsymbolic quantities.

The computer representation of quantities and SI units is reviewed at these four levels.

The authors concluded that these results support the idea that symbols acquire meaning by linking neural populations coding symbol shapes to those holding nonsymbolic representations of quantities.

end{aligned} (42 The graphical representation of the quantity (Delta delta _{t}) as a function of (delta _{t}) appears in Fig. 1.

This paper identifies new bases for random variables through linear mappings such that the representation of the quantity of interest is more sparse with new basis functions associated with the new random variables.

The basic idea is as follows: First, the surface is defined as a collection of neighboring triangles; second, a numerical representation of the quantity of interest is associated with each triangle and finally the patches that are most highly correlated with the function of the structure are defined.