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TRACE is a connectionist model of speech perception, proposed by James McClelland and Jeffrey Elman in 1986. [1] It is based on a structure called "the TRACE", a dynamic processing structure made up of a network of units, which performs as the system's working memory as well as the perceptual processing mechanism. [2]
Perception is not only the passive receipt of these signals, but it is also shaped by the recipient's learning, memory, expectation, and attention. [4] [5] Sensory input is a process that transforms this low-level information to higher-level information (e.g., extracts shapes for object recognition). [5]
Specificity of processing describes the increased recall value of a stimulus when presented in the method with which it was inputted. For example, auditory stimuli (spoken words and sounds) have the highest recall value when spoken, and visual stimuli have the highest recall value when a subject is presented with images. [6]
The Method of Levels originated in Bill Powers’ phenomenological investigations into the mobility of awareness relative to the perceptual hierarchy. [3] He prepared a description of it for his 1973 book, Behavior: The Control of Perception, but the editor persuaded him to remove that chapter and the chapter on emotion. [4]
Perceptual psychology is a subfield of cognitive psychology [1] that concerns the conscious and unconscious innate aspects of the human cognitive system: perception. [2] A pioneer of the field was James J. Gibson. One major study was that of affordances, i.e. the perceived utility of objects in, or features of, one's surroundings. According to ...
Models based on this idea have been used to describe various visual perceptual functions, such as the perception of motion, the perception of depth, and figure-ground perception. [16] [17] The "wholly empirical theory of perception" is a related and newer approach that rationalizes visual perception without explicitly invoking Bayesian formalisms.
A cognitive model is a representation of one or more cognitive processes in humans or other animals for the purposes of comprehension and prediction. There are many types of cognitive models, and they can range from box-and-arrow diagrams to a set of equations to software programs that interact with the same tools that humans use to complete tasks (e.g., computer mouse and keyboard).
Within this model, attention is assumed to be flexible, allowing different depths of perceptual analysis. [28] Which feature gathers awareness is dependent upon the person's needs at the time. [ 3 ] Switching from physical and semantic features as a basis for selection yields costs and benefits. [ 28 ]