• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Correlation between OFF and ON channels underlies dark target selectivity in an insect visual system.暗目标选择性是昆虫视觉系统中 OFF 和 ON 通道之间的相关性基础。
J Neurosci. 2013 Aug 7;33(32):13225-32. doi: 10.1523/JNEUROSCI.1277-13.2013.
2
Processing properties of ON and OFF pathways for Drosophila motion detection.果蝇运动检测中开环和闭环通路的处理特性。
Nature. 2014 Aug 28;512(7515):427-30. doi: 10.1038/nature13427. Epub 2014 Jul 6.
3
Functional specialization of parallel motion detection circuits in the fly.果蝇中平行运动检测电路的功能专业化
J Neurosci. 2013 Jan 16;33(3):902-5. doi: 10.1523/JNEUROSCI.3374-12.2013.
4
The Neuronal Basis of an Illusory Motion Percept Is Explained by Decorrelation of Parallel Motion Pathways.平行运动通路去相关解释了虚幻运动知觉的神经基础。
Curr Biol. 2018 Dec 3;28(23):3748-3762.e8. doi: 10.1016/j.cub.2018.10.007. Epub 2018 Nov 21.
5
Internal structure of the fly elementary motion detector.蝇初级运动检测器的内部结构。
Neuron. 2011 Jun 23;70(6):1155-64. doi: 10.1016/j.neuron.2011.03.028.
6
A directional tuning map of Drosophila elementary motion detectors.果蝇基本运动探测器的方向调谐图。
Nature. 2013 Aug 8;500(7461):212-6. doi: 10.1038/nature12320.
7
Luminance Contrast Shifts Dominance Balance between ON and OFF Pathways in Human Vision.亮度对比会改变人眼视觉中 ON 和 OFF 通路之间的优势平衡。
J Neurosci. 2023 Feb 8;43(6):993-1007. doi: 10.1523/JNEUROSCI.1672-22.2022. Epub 2022 Dec 19.
8
Direction Selectivity in Drosophila Emerges from Preferred-Direction Enhancement and Null-Direction Suppression.果蝇中的方向选择性源于偏好方向增强和零方向抑制。
J Neurosci. 2016 Aug 3;36(31):8078-92. doi: 10.1523/JNEUROSCI.1272-16.2016.
9
Modular Representation of Luminance Polarity in the Superficial Layers of Primary Visual Cortex.初级视觉皮层表层中亮度极性的模块化表征
Neuron. 2015 Nov 18;88(4):805-18. doi: 10.1016/j.neuron.2015.10.019.
10
Defining the computational structure of the motion detector in Drosophila.定义果蝇运动探测器的计算结构。
Neuron. 2011 Jun 23;70(6):1165-77. doi: 10.1016/j.neuron.2011.05.023.

引用本文的文献

1
Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery.评估用于红外航空图像中树袋熊检测的自动目标检测算法。
Sensors (Basel). 2024 Oct 31;24(21):7048. doi: 10.3390/s24217048.
2
Localized and Long-Lasting Adaptation in Dragonfly Target-Detecting Neurons.蜻蜓目标探测神经元的本地化和持久适应。
eNeuro. 2024 Sep 20;11(9). doi: 10.1523/ENEURO.0036-24.2024. Print 2024 Sep.
3
SLoN: a spiking looming perception network exploiting neural encoding and processing in ON/OFF channels.SLoN:一种利用开/关通道中的神经编码和处理的脉冲逼近感知网络。
Front Neurosci. 2024 Mar 6;18:1291053. doi: 10.3389/fnins.2024.1291053. eCollection 2024.
4
Dual Receptive Fields Underlying Target and Wide-Field Motion Sensitivity in Looming-Sensitive Descending Neurons.在对移动物体敏感的下行神经元中,目标和广域运动敏感性的双重感受野。
eNeuro. 2023 Jul 24;10(7). doi: 10.1523/ENEURO.0188-23.2023. Print 2023 Jul.
5
Dragonfly Neurons Selectively Attend to Targets Within Natural Scenes.蜻蜓神经元选择性地关注自然场景中的目标。
Front Cell Neurosci. 2022 Apr 5;16:857071. doi: 10.3389/fncel.2022.857071. eCollection 2022.
6
Facilitation of neural responses to targets moving against optic flow.促进神经对与光流方向相反运动的目标的反应。
Proc Natl Acad Sci U S A. 2021 Sep 21;118(38). doi: 10.1073/pnas.2024966118.
7
Modeling Nonlinear Dendritic Processing of Facilitation in a Dragonfly Target-Tracking Neuron.在蜻蜓目标跟踪神经元中对易化的非线性树突处理进行建模。
Front Neural Circuits. 2021 Aug 16;15:684872. doi: 10.3389/fncir.2021.684872. eCollection 2021.
8
Spike bursting in a dragonfly target-detecting neuron.蜻蜓靶神经元中的爆发 Spike bursting in a dragonfly target-detecting neuron.
Sci Rep. 2021 Feb 17;11(1):4005. doi: 10.1038/s41598-021-83559-5.
9
Experience, circuit dynamics, and forebrain recruitment in larval zebrafish prey capture.幼虫斑马鱼捕食行为中的经验、回路动力学和前脑募集。
Elife. 2020 Sep 28;9:e56619. doi: 10.7554/eLife.56619.
10
Modelling Drosophila motion vision pathways for decoding the direction of translating objects against cluttered moving backgrounds.为了解码运动背景中移动的物体的运动方向,对果蝇的运动视觉通路进行建模。
Biol Cybern. 2020 Oct;114(4-5):443-460. doi: 10.1007/s00422-020-00841-x. Epub 2020 Jul 4.

本文引用的文献

1
Functional specialization of parallel motion detection circuits in the fly.果蝇中平行运动检测电路的功能专业化
J Neurosci. 2013 Jan 16;33(3):902-5. doi: 10.1523/JNEUROSCI.3374-12.2013.
2
Selective attention in an insect visual neuron.昆虫视觉神经元的选择性注意。
Curr Biol. 2013 Jan 21;23(2):156-61. doi: 10.1016/j.cub.2012.11.048. Epub 2012 Dec 20.
3
Facilitation of dragonfly target-detecting neurons by slow moving features on continuous paths.连续路径上缓慢移动的特征促进蜻蜓目标探测神经元。
Front Neural Circuits. 2012 Oct 29;6:79. doi: 10.3389/fncir.2012.00079. eCollection 2012.
4
Seeing things in motion: models, circuits, and mechanisms.观察运动中的事物:模型、回路和机制。
Neuron. 2011 Sep 22;71(6):974-94. doi: 10.1016/j.neuron.2011.08.031. Epub 2011 Sep 21.
5
Defining the computational structure of the motion detector in Drosophila.定义果蝇运动探测器的计算结构。
Neuron. 2011 Jun 23;70(6):1165-77. doi: 10.1016/j.neuron.2011.05.023.
6
Internal structure of the fly elementary motion detector.蝇初级运动检测器的内部结构。
Neuron. 2011 Jun 23;70(6):1155-64. doi: 10.1016/j.neuron.2011.03.028.
7
Discrimination of features in natural scenes by a dragonfly neuron.蜻蜓神经元对自然场景特征的辨别。
J Neurosci. 2011 May 11;31(19):7141-4. doi: 10.1523/JNEUROSCI.0970-11.2011.
8
Spatial facilitation by a high-performance dragonfly target-detecting neuron.高性能蜻蜓目标探测神经元的空间易化作用。
Biol Lett. 2011 Aug 23;7(4):588-92. doi: 10.1098/rsbl.2010.1152. Epub 2011 Jan 26.
9
ON and OFF pathways in Drosophila motion vision.果蝇运动视觉中的 ON 和 OFF 通路。
Nature. 2010 Nov 11;468(7321):300-4. doi: 10.1038/nature09545.
10
Local and large-range inhibition in feature detection.特征检测中的局部和大范围抑制
J Neurosci. 2009 Nov 11;29(45):14143-50. doi: 10.1523/JNEUROSCI.2857-09.2009.

暗目标选择性是昆虫视觉系统中 OFF 和 ON 通道之间的相关性基础。

Correlation between OFF and ON channels underlies dark target selectivity in an insect visual system.

机构信息

Adelaide Centre for Neuroscience Research, School of Medical Sciences, The University of Adelaide, Adelaide, SA 5005, Australia.

出版信息

J Neurosci. 2013 Aug 7;33(32):13225-32. doi: 10.1523/JNEUROSCI.1277-13.2013.

DOI:10.1523/JNEUROSCI.1277-13.2013
PMID:23926274
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6619721/
Abstract

In both vertebrates and invertebrates, evidence supports separation of luminance increments and decrements (ON and OFF channels) in early stages of visual processing (Hartline, 1938; Joesch et al., 2010); however, less is known about how these parallel pathways are recombined to encode form and motion. In Drosophila, genetic knockdown of inputs to putative ON and OFF pathways and direct recording from downstream neurons in the wide-field motion pathway reveal that local elementary motion detectors exist in pairs that separately correlate contrast polarity channels, ON with ON and OFF with OFF (Joesch et al., 2013). However, behavioral responses to reverse-phi motion of discrete features reveal additional correlations of the opposite signs (Clark et al., 2011). We here present intracellular recordings from feature detecting neurons in the dragonfly that provide direct physiological evidence for the correlation of OFF and ON pathways. These neurons show clear polarity selectivity for feature contrast, responding strongly to targets that are darker than the background and only weakly to dark contrasting edges. These dark target responses are much stronger than the linear combination of responses to ON and OFF edges. We compare these data with output from elementary motion detector-based models (Eichner et al., 2011; Clark et al., 2011), with and without stages of strong center-surround antagonism. Our data support an alternative elementary small target motion detector model, which derives dark target selectivity from the correlation of a delayed OFF with an un-delayed ON signal at each individual visual processing unit (Wiederman et al., 2008, 2009).

摘要

在脊椎动物和无脊椎动物中,有证据表明在视觉处理的早期阶段,亮度的增加和减少(ON 和 OFF 通道)是分开的(Hartline,1938;Joesch 等人,2010);然而,关于这些平行途径如何重新组合以编码形状和运动的信息知之甚少。在果蝇中,对假定的 ON 和 OFF 途径的输入进行基因敲低,并直接记录宽场运动途径中的下游神经元,结果表明局部基本运动探测器存在于分别与对比度极性通道相关联的对中,ON 与 ON 相关联,OFF 与 OFF 相关联(Joesch 等人,2013)。然而,对离散特征的反向 phi 运动的行为反应揭示了相反符号的额外相关性(Clark 等人,2011)。我们在这里从蜻蜓的特征检测神经元中提供细胞内记录,为 OFF 和 ON 途径的相关性提供直接的生理证据。这些神经元对特征对比度表现出明显的极性选择性,对比背景暗的目标反应强烈,而对暗对比度的边缘反应较弱。这些暗目标反应比 ON 和 OFF 边缘的线性组合要强得多。我们将这些数据与基于基本运动探测器的模型(Eichner 等人,2011;Clark 等人,2011)的输出进行比较,这些模型有无强烈的中心-周围拮抗作用阶段。我们的数据支持一种替代的基本小目标运动探测器模型,该模型从每个单独的视觉处理单元中延迟的 OFF 与未延迟的 ON 信号的相关性中得出暗目标选择性(Wiederman 等人,2008,2009)。