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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.
Two-alternative forced choice (2AFC) is a method for measuring the sensitivity of a person or animal to some particular sensory input, stimulus, through that observer's pattern of choices and response times to two versions of the sensory input. For example, to determine a person's sensitivity to dim light, the observer would be presented with a ...
In cognitive psychology, a recall test is a test of memory of mind in which participants are presented with stimuli and then, after a delay, are asked to remember as many of the stimuli as possible. [1]: 123 Memory performance can be indicated by measuring the percentage of stimuli the participant was able to recall. An example of this would be ...
Thin-slicing is a term used in psychology and philosophy to describe the ability to find patterns in events based only on "thin slices", or narrow windows, of experience. The term refers to the process of making very quick inferences about the state, characteristics or details of an individual or situation with minimal amounts of information.
Superyachts serve as floating palaces for the world’s elite.These opulent vessels, which are larger than most apartments and cost more than a mansion, are often custom-built to reflect the ...
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.
The recent reversals by two US district judges on plans to step down from their seats, effectively denying President-elect Donald Trump the opportunity to replace them, has put attention on other ...