Where are feature detectors?

Last Update: April 20, 2022

This is a question our experts keep getting from time to time. Now, we have got the complete detailed explanation and answer for everyone, who is interested!

Asked by: Mrs. Sabryna Luettgen DVM
Score: 4.6/5 (72 votes)

Feature detectors are neurons in the retina or brain that respond to specific attributes of a stimulus, movement, orientation etc.

Where are facial feature detectors located?

19.5 indicates the positions of the nine facial-features used to train the facial-feature detectors: the outer corners of each eye, the four corners of the eyebrows, the center of the nostrils, and the corners of the mouth. FIGURE 19.5.

Where are feature detectors psychology?

In the area of psychology, the feature detectors are neurons in the visual cortex that receive visual information and respond to certain features such as lines, angles, movements, etc.

Where in the visual cortex are feature detectors located?

In the first and completely parvocellular pathway, neurons in the interblobs of V1 project to the pale stripes of V2. The pale stripes of V2 project to the inferior temporal cortex. This is the pathway composed of feature detectors (simple, complex and hypercomplex cells) as described in the basic information section.

What is an example of feature detectors?

any of various hypothetical or actual mechanisms within the human information-processing system that respond selectively to specific distinguishing features. For example, the visual system has feature detectors for lines and angles of different orientations as well as for more complex stimuli, such as faces.

Feature detection and parallel processing | Processing the Environment | MCAT | Khan Academy

44 related questions found

Where are feature detectors located and what is their function How do feature detectors work together to portray a whole image?

Where are the feature detectors located, and what is their function? How do feature detectors portray a "whole" image? specialized neurons in the occipital lobe's visual cortex that receive information from individual ganglion cells in the retina; piece together lines, edges, angles, etc.

What do the feature detectors do?

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.

What are feature detectors quizlet?

What are feature detectors? Nerve cells in the brain that respond to specific features of the stimulus, such as shape, angle, or movement.

What is feature detection MCAT?

Feature detection: the Feature Detection Theory describes why a particular part of our brain is triggered when we look at something (ie. looking at animals trigger one part of the brain, and looking at words trigger a different part.)

What is feature detector theory?

the theory that all complex stimuli can be broken down into individual parts (features), each of which is analyzed by a specific feature detector.

What is feature detection in image processing?

Feature detection is a low-level image processing operation. That is, it is usually performed as the first operation on an image, and examines every pixel to see if there is a feature present at that pixel. ... These algorithms extract interesting information from the image data at detected keypoints.

How do feature detectors help the brain process visual information?

Receptor cells on the retina are excited or inhibited by the light and send information to the visual cortex through the optic nerve. ... Feature detector neurons in the visual cortex help us recognize objects, and some neurons respond selectively to faces and other body parts.

Who are Hubel and Wiesel?

David Hubel and Torsten Wiesel came to Harvard from Johns Hopkins University with Steven Kuffler in the early 1960s to establish the Department of Neurobiology at Harvard Medical School. ... Such single-neuron recordings were an innovation at the time, enabled by Hubel's earlier invention of a special recording electrode.

Are feature detectors top down processing?

A clear example of bottom-up processing is provided by feature detection theory.

What are the three properties a feature detector should have in order to be robust?

The algorithm has three main parts: interest point detection, local neighborhood description, and matching.
  • Detection.
  • Descriptor.
  • Matching.

How do feature detectors and parallel processing affect our visual perception?

In the visual cortex, feature detectors respond to specific features of the visual stimulus, such as edges, lines, and angles. Through parallel processing, the brain handles many aspects of vision (color, movement, form, and depth) simultaneously.

Is feature detection parallel processing?

In this video, I review our ability to break down an image into its component "features" such as color, form, and motion. This is known as feature detection, and since the detection of various features happens simultaneously, or in parallel, it is referred to as parallel processing.

What is Weber's MCAT?

Weber's Law: The difference threshold is proportional to the magnitude of the stimulus. ... Signal detection theory: The detection of a stimulus depends on both the intensity of the stimulus and the physical/psychological state of the individual.

Where are the feature detectors located and what do they do?

Feature detectors are neurons in the retina or brain that respond to specific attributes of a stimulus, movement, orientation etc.

What is signal detection AP Psychology?

signal detection theory. a theory predicting how and when we predict the presence of a faint stimulus aid background stimulation assumes that their is no single absolute threshold and that detection depends partly on a person's experience, expectations.

What evidence supports the idea of feature detectors?

What evidence most directly supports the idea of feature detectors? When an experimenter presents a faint light, a particular participant almost always reports seeing it, suggesting great sensitivity to faint lights.

What is feature detection in computer vision?

Feature detection is a low-level image processing operation. That is, it is usually performed as the first operation on an image, and examines every pixel to see if there is a feature present at that pixel.

Who created the feature detection theory?

One theory of speech perception, feature detection theory, was based on the distinctive feature theory proposed by Roman Jakobson, Gunnar Fant, and Morris Halle in 1963 that is still recognizable in the phonetic descriptions of sound in the section 'Articulatory and Acoustic Classification Schemes.

What does optic nerve mean in psychology?

The optic nerve is one of the twelve cranial nerves. The optic nerve is behind the eyeball and transmits visual information to the brain.