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Multiple code theory (MCT) is a theory that conceives of the human brain as processing information in three codes. A certain issue can be coded in three languages, via symbolic verbal information (letters), symbolic nonverbal information (images), and pre-symbolic information (body feeling).
Common coding theory is a cognitive psychology theory describing how perceptual representations (e.g. of things we can see and hear) and motor representations (e.g. of hand actions) are linked. The theory claims that there is a shared representation (a common code) for both perception and action.
Roman Jakobson (1896–1982) elaborated the idea that the production and interpretation of texts depends on the existence of codes or conventions for communication. Since the meaning of a sign depends on the code within which it is situated, codes provide a framework within which signs make sense (see Semiosis).
Analogue codes retain the main perceptual features of whatever is being represented, so the images we form in our minds are highly similar to the physical stimuli. They are a near-exact representation of the physical stimuli we observe in our environment, such as trees and rivers. [4] Symbolic codes are used to form mental representations of ...
The dual-code theory, created by Allan Paivio in 1971, is the theory that we use two separate codes to represent information in our brains: image codes and verbal codes. Image codes are things like thinking of a picture of a dog when you are thinking of a dog, whereas a verbal code would be to think of the word "dog". [31]
"The level of connotation of the visual sign, of its contextual reference and positioning in different discursive fields of meaning and association, is the point where already coded signs intersect with the deep semantic codes of a culture and take on additional more active ideological dimensions." —
Coding conventions allow programmers to have simple scripts or programs whose job is to process source code for some purpose other than compiling it into an executable. It is common practice to count the software size ( Source lines of code ) to track current project progress or establish a baseline for future project estimates .
Visual object recognition refers to the ability to identify the objects in view based on visual input. One important signature of visual object recognition is "object invariance", or the ability to identify objects across changes in the detailed context in which objects are viewed, including changes in illumination, object pose, and background context.