Sentence examples for representations of concrete from inspiring English sources

More recently, computer representations of concrete have been tasked with analyzing or predicting the dynamic behavior of structures.

They suggest that semantic conceptual representations of concrete and abstract words are acquired through experiential and linguistic knowledge but to different degrees.

Conceptual representations of concrete and abstract words will be differentially processed according to the amount of associated sensory, motor and affective representations with levels of activity in the AG responding to the amount of semantic information associated with the target word.

The meso-structure is based on a two-phase 3D representation of concrete, where stiff aggregates are embedded into a mortar matrix.

Here we examine the commonality of the representation of concrete nouns across people.

Taken together, these suggest an expanded set of about 12 dimensions for the neurosemantic representation of concrete nouns (excluding the representation of the word length).

The cross-participant findings provide the first evidence of a neural representation of concrete nouns based on a set of semantic factors that is common across people.

A central issue addressed here concerns the underlying semantic dimensions of representation of concrete nouns and the physical objects to which they refer.

There are some indications that these three dimensions are not the only ones used in the neural representation of concrete objects.

This correspondence provides an important link between the neural representation of concrete nouns and the representation of the different types of interactions a person can have with such objects.

It is plausible that there exist additional factors that underpin the representation of concrete nouns that were not captured by our analysis, either because of limitations of the set of stimulus words or limitations in the analysis procedures.