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相关概念视频

Parallel Processing01:20

Parallel Processing

125
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...
125
Visual System01:26

Visual System

422
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...
422
Information Processing Approach01:30

Information Processing Approach

13
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
13
Vision01:24

Vision

52.2K
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.
52.2K
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

448
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
448
Encoding01:19

Encoding

80
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...
80

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相关实验视频

Updated: May 9, 2025

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

11.7K

一个计算框架来研究视觉叙事中的等级处理.

Aditya Upadhyayula1, Neil Cohn2

  • 1Department of Psychological & Brain Sciences, Washington University in St. Louis.

Cognitive science
|May 3, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一个计算框架,用于探索视觉叙事理解中的等级结构. 研究结果表明,人类处理与等级语法保持一致,与平面化模型不同.

关键词:
计算心理语言学计算心理语言学隐藏的马尔科夫模型层次化的语法 层次化的语法语言模型 语言模型概率的厄利解析器视觉叙述 视觉叙述 视觉叙述

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Cross-Modal Multivariate Pattern Analysis
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Cross-Modal Multivariate Pattern Analysis

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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues

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相关实验视频

Last Updated: May 9, 2025

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

11.7K
Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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科学领域:

  • 认知科学 认知科学
  • 计算语言学 计算语言学
  • 心理语言学 心理语言学

背景情况:

  • 视觉叙事理解理论经常提出基于语法的等级机制.
  • 对视觉叙事的等级性质的实证研究仍然有限.

研究的目的:

  • 开发和测试用于分析视觉叙事中的层次结构的计算框架.
  • 将计算模型与行为数据进行比较,以推断认知处理机制.

主要方法:

  • 由心理语言学启发的计算框架被开发出来.
  • 一个细分任务被用来收集在视觉叙事边界上的行为数据.
  • 为了预测细分偏好,使用了三个模型 (Earley解析器,隐藏的马尔科夫模型,n-gram).

主要成果:

  • 视觉叙事语法显著预测了参与者细分偏好.
  • 厄利的解析器,利用层次语法与递归,比平面语法模型 (HMM,n-gram) 更好地匹配行为数据.

结论:

  • 人类视觉叙事理解似乎涉及层次处理,与语法结构一致.
  • 这项研究为了解超越语言系统的心理表征的认知架构开辟了新的途径.