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Feature Detectors. The ability to detect certain types of stimuli, like movements, shape, and angles, requires specialized cells in the brain called feature detectors. Without these, it would be difficult, if not impossible, to detect a round object, like a baseball, hurdling toward you at 90 miles per hour.


Feature detection is a process in which the brain detects specific elements of visuals, such as lines, edges or movement. Nerve cells respond to the specific details and hone in on selective shapes and lights, thus blurring out the larger image.


Psychology Definition of FEATURE DETECTION THEORY: a theory that states that all complex stimuli are able to be broken down into individual parts or features each of which is then analysed by a feature dete


Feature detection is a process by which the nervous system sorts or filters complex natural stimuli in order to extract behaviorally relevant cues that have a high probability of being associated with important objects or organisms in their environment, as opposed to irrelevant background or noise.


In other words, the concept of feature detection demands the existence of cells “at which the buck stops” and the decision is made. Such cells have not, strictly, been found. An alternative method is to destroy all those cells thought to mediate the detection of a particular feature and study the effect on behavior—the ablation method.


Any of a number of theories according to which the perception of objects proceeds by recognizing individual features (1), such as a pair of wheels, a pair of pedals, a handlebar, a saddle, and an M-shaped metal frame, and assembling them to form a coherent pattern, in this example a bicycle, which is then identified as such. Also called feature abstraction theory.


Psychology Definition of FEATURE DETECTOR: These are the various hypothetical or actual mechanisms within the human information-processing system that respond selectively to specific distinguishing


Shape detection requires a slew of techniques, including edge detection, pattern matching, probability analysis, feature detection, middle mass and blob detection, image correlation and pixel ...


"a theory predicting how and when we detect the presence of a faint stimulus (""signal"") amid background stimulation (""noise""). Assumes there is no single absolute threshold and detection depends partly on a person's experience" expectations motivation and level of fatigue. (Myers Psychology 8e p. 199)