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Related Concept Videos

Visual System01:26

Visual System

Light enters the eye through the cornea, a transparent, dome-shaped surface covering the surface of the eyeball that helps to direct and focus incoming light. This light is then channeled toward the pupil, an adjustable opening whose size is controlled by the iris. The iris, a pigmented muscle, regulates the amount of light entering the eye by contracting or dilating the pupil, thereby ensuring optimal light levels for clear vision.
Once through the pupil, the light passes through the lens, a...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Encoding01:19

Encoding

Information enters the brain through encoding, which is the input of information into the memory system. Once sensory information is received from the environment, the brain labels or codes it. The information is then organized with similar information and connected to existing concepts. Encoding occurs through automatic processing and effortful processing.
Automatic processing involves the encoding of details like time, space, frequency, and the meaning of words, usually done without conscious...
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...

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Related Experiment Video

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Creating Objects and Object Categories for Studying Perception and Perceptual Learning
14:38

Creating Objects and Object Categories for Studying Perception and Perceptual Learning

Published on: November 2, 2012

Human visual system automatically encodes sequential regularities of discrete events.

Motohiro Kimura1, Erich Schröger, István Czigler

  • 1Department of Psychology, Nagoya University, Nagoya, Japan. m-kimura@nagoya-u.jp

Journal of Cognitive Neuroscience
|July 9, 2009
PubMed
Summary

The brain automatically encodes environmental patterns using sensory memory. This study shows the visual system also automatically learns sequential regularities, similar to the auditory system.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Sensory Processing

Background:

  • The brain must automatically encode environmental regularities for adaptive behavior.
  • Auditory mismatch negativity (MMN) suggests the auditory system automatically encodes sequential regularities.
  • It remains unclear if other sensory systems exhibit similar automatic encoding abilities.

Purpose of the Study:

  • To investigate the visual sensory system's role in automatically encoding sequential regularities.
  • To examine visual mismatch negativity (MMN) to understand automatic visual sequence encoding.
  • To differentiate between trace-mismatch and regularity-violation hypotheses in visual MMN generation.

Main Methods:

  • Sequential analysis of visual MMN in an oddball paradigm.
  • Presentation of frequent standard and infrequent deviant visual stimuli.
  • Testing MMN responses to different sequential positions of standard and deviant stimuli.

Main Results:

  • Visual MMN was elicited by the first deviant, second deviant, and first standard stimuli.
  • Visual MMN was not elicited by the second standard stimulus.
  • These findings support the regularity-violation hypothesis.

Conclusions:

  • The visual sensory system automatically encodes sequential regularities.
  • Sensory systems play a crucial role in building internal world models by automatically encoding sequential information.
  • This extends the understanding of automatic sequence learning beyond the auditory modality.