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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.
In psychology, pattern recognition is used to make sense of and identify objects, and is closely related to perception. This explains how the sensory inputs humans receive are made meaningful. Pattern recognition can be thought of in two different ways. The first concerns template matching and the second concerns feature detection.
Leonard Uhr (1927 – October 5, 2000) was an American computer scientist and a pioneer in computer vision, pattern recognition, machine learning and cognitive science.He was an expert in many aspects of human neurophysiology and perception, and a central theme of his research was to design artificial intelligence systems based on his understanding of how the human brain works.
Print/export Download as PDF ... Pages in category "Pattern recognition" ... Pattern recognition (psychology) Pattern Recognition in Physics; S. Sound recognition
In cognitive science, prototype-matching is a theory of pattern recognition that describes the process by which a sensory unit registers a new stimulus and compares it to the prototype, or standard model, of said stimulus. Unlike template matching and featural analysis, an exact match is not expected for prototype-matching, allowing for a more ...
Context acts by a mechanism of priming, wherein related information becomes momentarily more pertinent and accessible – lowering the threshold for recognition in the process. [3] An example of this can be seen in the statement "the recess bell rang " , where the word rang and its synonyms would experience a lowered threshold due to the ...
A Tennessee state senator has been arrested on a DUI charge after he was filmed allegedly failing a sobriety test following a drunken hit-and-run crash in Georgia.. Rep. Ken Yager, 77, was caught ...
Adaptive resonance theory (ART) is a theory developed by Stephen Grossberg and Gail Carpenter on aspects of how the brain processes information.It describes a number of artificial neural network models which use supervised and unsupervised learning methods, and address problems such as pattern recognition and prediction.