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The standard definition for MHP is: The MHP draws an analogy between the processing and storage areas of a computer, with the perceptual, motor, cognitive and memory areas of the computer user. The human processor model uses the cognitive, perceptual, and motor processors along with the visual image, working memory, and long term memory storages.
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]
Simple and complex cells in the brain process boundary and surface information by deciphering the image's contrast, orientation, and edges. [7] When the image hits the fovea, it is highly magnified, facilitating object recognition. The images in the periphery are less clear but help to create a complete image used for scene perception. [7] [8] [9]
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).
Perceptual learning is distinguished from category learning. Perceptual learning generally refers to the enhancement of detectability of a perceptual item or the discriminability between two or more items. In contrast, category learning involves labeling or categorizing an item into a particular group or category.
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]
Feature integration theory is a theory of attention developed in 1980 by Anne Treisman and Garry Gelade that suggests that when perceiving a stimulus, features are "registered early, automatically, and in parallel, while objects are identified separately" and at a later stage in processing.
Vision dominates our perception of the world around us. This is because visual spatial information is one of the most reliable sensory modalities. Visual stimuli are recorded directly onto the retina, and there are few, if any, external distortions that provide incorrect information to the brain about the true location of an object. [18]