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"THE CAT" is a classic example of context effect. We have little trouble reading "H" and "A" in their appropriate contexts, even though they take on the same form in each word. A context effect is an aspect of cognitive psychology that describes the influence of environmental factors on one's perception of a stimulus. [1]
An example of top-down processing: Even though the second letter in each word is ambiguous, top-down processing allows for easy disambiguation based on the context. These terms are also employed in cognitive sciences including neuroscience, cognitive neuroscience and cognitive psychology to discuss the flow of information in processing. [6]
In psychology and cognitive neuroscience, pattern recognition is a cognitive process that matches information from a stimulus with information retrieved from memory. [1]Pattern recognition occurs when information from the environment is received and entered into short-term memory, causing automatic activation of a specific content of long-term memory.
Transfer-appropriate processing (TAP) is a type of state-dependent memory specifically showing that memory performance is not only determined by the depth of processing (where associating meaning with information strengthens the memory; see levels-of-processing effect), but by the relationship between how information is initially encoded and how it is later retrieved.
Neurally, the signs of interrupted or stopped speech can be suppressed in the thalamus and auditory cortex, possibly as a consequence of top-down processing by the auditory system. [2] Key aspects of the speech signal itself are considered to be resolved somewhere in the interface between auditory and language-specific areas (an example is ...
Within these stages, there are more specific processes that take place to complete the different processing components. In addition, other existing models have proposed integrative hierarchies (top-down and bottom-up), as well as parallel processing, as opposed to this general bottom-up hierarchy.
McClelland and Rumelhart's parallel processing model describes perception as the meeting of top-down (conceptual) and bottom-up (sensory) elements. In the late 1990s, the idea of top-down and bottom-up processing was translated into a computational model of vision by Rao and Ballard. [3]
Biased competition theory advocates the idea that each object in the visual field competes for cortical representation and cognitive processing. [1] This theory suggests that the process of visual processing can be biased by other mental processes such as bottom-up and top-down systems which prioritize certain features of an object or whole items for attention and further processing.