Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Color Vision01:24

Color Vision

619
Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.
619

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Homotypic dendritic interactions constrain growth and receptor distribution in Drosophila T4 neurons without affecting orientation or function.

Development (Cambridge, England)·2026
Same author

Population Morphology Implies a Common Developmental Blueprint for <i>Drosophila</i> Motion Detectors.

bioRxiv : the preprint server for biology·2025
Same author

Polyadic synapses introduce unique wiring architectures in T5 cells of Drosophila.

PloS one·2025
Same author

Differential temporal filtering in the fly optic lobe.

Journal of computational neuroscience·2025
Same author

Columnar cholinergic neurotransmission onto T5 cells of Drosophila.

Current biology : CB·2025
Same author

Biased cell adhesion organizes the Drosophila visual motion integration circuit.

Developmental cell·2024

相关实验视频

Updated: Jul 27, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

466

对比度正常化影响视觉内部神经元的响应时间.

Nadezhda Pirogova1,2, Alexander Borst1

  • 1Department Circuits-Computation-Models, Max Planck Institute for Biological Intelligence, Planegg, Martinsried, Germany.

PloS one
|June 9, 2023
PubMed
概括

神经元通过对比度正常化灵活地调整它们对光变化的反应. 这项研究表明,Drosophila视觉内部神经元的正常化改变了响应动态,而不仅仅是振幅,尤其是在动态的环境中.

科学领域:

  • 神经科学是一个神经科学.
  • 感官处理 感官处理
  • 昆虫的视力 昆虫的视力

背景情况:

  • 神经元必须编码在自然环境中发现的广泛的光强度和对比度.
  • 对比度正常化允许神经元调整其动态范围以环境统计数据.
  • 对比度正常化对神经反应动态的影响仍然在很大程度上是未知的.

研究的目的:

  • 研究对比度正常化如何影响视觉内神经元的响应动态.
  • 为了确定动态环境是否影响对比度正常化的效果.
  • 模拟神经反应中正常化诱导的变化背后的机制.

主要方法:

  • 研究了Drosophila melanogaster中的视觉内神经元.
  • 应用动态视觉环境来改变对比率统计.
  • 测量神经信号幅度和响应动态的变化.
  • 开发了一个计算模型来解释观察到的效应.

主要成果:

  • 在Drosophila视觉内部神经元中对比度的正常化抑制了响应幅度.
  • 正常化还改变了响应动态,当一个动态的周围环境是存在的.
  • 一个模型表明,输入电阻和膜时间常数的变化可以解释这些效应.

更多相关视频

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.0K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K

相关实验视频

Last Updated: Jul 27, 2025

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss
07:12

Development of a Gaze-Contingent Display Framework Designed for Perceptual and Oculomotor Research with Simulated Central Vision Loss

Published on: April 11, 2025

466
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.0K
Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments
13:00

Measuring Attention and Visual Processing Speed by Model-based Analysis of Temporal-order Judgments

Published on: January 23, 2017

10.0K
  • 单细胞对人工刺激的过特性不能完全预测自然反应.
  • 结论:

    • 对比度正常化对于调整神经反应以适应自然视觉条件至关重要.
    • 动态环境显著影响正常化如何影响神经元信号传递.
    • 简单的模型可以捕捉正常化,环境效应和神经动态之间的相互作用.
    • 从人工刺激结果推断到自然情景需要谨慎.