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Perceptual Constancy01:12

Perceptual Constancy

382
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
382
Factors Affecting Perception01:25

Factors Affecting Perception

1.6K
Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
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Perceiving Loudness, Pitch, and Location01:21

Perceiving Loudness, Pitch, and Location

205
The human brain perceives pitch through two primary mechanisms reflected in place theory and frequency theory. Each mechanism describes how sound waves are interpreted as specific pitches by the brain, offering insights into the intricate processes of auditory perception.
Place theory, or place coding, suggests that different pitches are heard because various sound waves activate specific locations along the cochlea's basilar membrane. The brain determines the pitch of a sound by...
205
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.3K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.3K
Uncertainty: Overview00:59

Uncertainty: Overview

549
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
549
Confirmation Biases01:31

Confirmation Biases

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The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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相关实验视频

Updated: Jun 23, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
08:12

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

Published on: March 1, 2022

2.5K

如何V1人口活动告知知觉确定性?

Zoe M Boundy-Singer1,2, Corey M Ziemba1,3, Olivier J Hénaff4,5

  • 1Center for Perceptual Systems, University of Texas at Austin, Austin, TX, USA.

Journal of vision
|June 17, 2024
PubMed
概括

视觉皮层 (V1) 中的神经群体活动可以预测感知确定性. 响应增强变化是方向估计不确定性的强有力的指标,有助于下游处理.

科学领域:

  • 神经科学是一个神经科学.
  • 计算神经科学是一种神经科学.
  • 感官处理 感官处理

背景情况:

  • 感官皮层中的神经群体活动对于感知解释至关重要.
  • 这项活动可以支持多种解释,概率差表明不确定性.
  • 了解大脑如何表示感知确定性是一个关键的挑战.

研究的目的:

  • 测试感官群体活动的简单转换是否可以揭示感知解释的可靠性.
  • 调查V1人口活动与定向确定性之间的关系.
  • 为了确定感知不确定性的神经相关性.

主要方法:

  • 记录了观看定向刺激的的V1种群活动.
  • 操纵的刺激信号强度和麻烦的变化.
  • 开发了一种解码程序,以从V1活动中估计刺激方向和确定性.

主要成果:

  • 响应大小,响应分散和响应增益可变性被确定为定向确定性的代理.
  • 响应增长的可变性显示出与解码器不确定性估计的最强相关性.
  • 这些神经指标提供了关于感知估计可靠性的信息.

结论:

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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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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Last Updated: Jun 23, 2025

A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
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A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

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Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
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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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  • 在V1中神经群体的活动包含了反映感知解释确定性的信号.
  • 响应增益变化是不确定性的特别强烈指标.
  • 这些发现表明,感官皮层为下游电路提供信息,以评估感知可靠性.