Suppr超能文献

基于系统的斑马鱼顶盖视网膜输入分析揭示了发育过程中不同功能类别的不同规则。

A systems-based dissection of retinal inputs to the zebrafish tectum reveals different rules for different functional classes during development.

机构信息

MRC Centre for Developmental Neurobiology, King's College London, Guy's Hospital Campus, London SE1 1UL, United Kingdom.

出版信息

J Neurosci. 2013 Aug 28;33(35):13946-56. doi: 10.1523/JNEUROSCI.1866-13.2013.

Abstract

We have examined the form, diversity, and organization of three functional classes of retinal inputs to the zebrafish optic tectum during development. Our systems-based approach was to analyze data from populations of retinal ganglion cells labeled with a presynaptic targeted calcium indicator, synaptophysin GCaMP3 (SyGCaMP3). Collectively, our findings provide an insight as to the degree of visual encoding during retino-tectal development and how it dynamically evolves from a nascent and noisy presynaptic neural-scape to an increasingly complex and refined representation. We report five key features: (1) direction-selective inputs are developmentally invariant; (2) orientation-selective inputs exhibit highly dynamic properties over the same period, with changes in their functional characteristics and spatial organization; (3) inputs defined as anisotropic are an early dominant functional class, with heterogeneous response profiles, which progressively diminish in incidence and spatial extent; (4) dark rearing selectively affects the orientation-selective responses: both functional characteristics and relative spatial distributions; and (5) orientation-selective inputs exhibit four subtypes, two more than previously identified in any species. Our approach was to label RGC axon terminals with an indicator of activity and quantitatively characterize coherent response properties to different visual stimuli. Its application in the zebrafish, given its small size and the accessibility of the tectum, has enabled a quick yet robust assessment of multiple functional populations of responses.

摘要

我们研究了斑马鱼视顶盖在发育过程中三种功能类别视网膜输入的形式、多样性和组织。我们的系统方法是分析用突触前靶向钙指示剂、突触小体蛋白 GCaMP3(SyGCaMP3)标记的视网膜神经节细胞群体的数据。总的来说,我们的研究结果提供了一个关于视觉编码在视网膜 - 顶盖发育过程中的程度的见解,以及它如何从一个新生和嘈杂的突触前神经景观动态演变到一个越来越复杂和精细的表示。我们报告了五个关键特征:(1)方向选择性输入在发育上是不变的;(2)在同一时期,方位选择性输入表现出高度动态的特性,其功能特征和空间组织发生变化;(3)被定义为各向异性的输入是早期占主导地位的功能类别,具有异质的反应特征,其发生率和空间范围逐渐减少;(4)暗适应选择性地影响方位选择性反应:功能特征和相对空间分布;(5)方位选择性输入表现出四种亚型,比以前在任何物种中发现的都多两种。我们的方法是用活性指示剂标记 RGC 轴突末梢,并定量表征对不同视觉刺激的相干反应特性。由于其体型小且视顶盖易于接近,该方法在斑马鱼中的应用使其能够快速而稳健地评估多种功能反应群体。

相似文献

3
Parametric functional maps of visual inputs to the tectum.顶盖视输入的参数功能图。
Neuron. 2012 Oct 18;76(2):317-324. doi: 10.1016/j.neuron.2012.08.040. Epub 2012 Oct 17.
5
A Three-Layer Network Model of Direction Selective Circuits in the Optic Tectum.光顶盖中方向选择电路的三层网络模型。
Front Neural Circuits. 2017 Nov 21;11:88. doi: 10.3389/fncir.2017.00088. eCollection 2017.

引用本文的文献

7
Probabilistic Encoding Models for Multivariate Neural Data.概率编码模型在多变量神经数据中的应用。
Front Neural Circuits. 2019 Jan 28;13:1. doi: 10.3389/fncir.2019.00001. eCollection 2019.
9
Orientation-Selective Retinal Circuits in Vertebrates.脊椎动物的方位选择性视网膜回路。
Front Neural Circuits. 2018 Feb 7;12:11. doi: 10.3389/fncir.2018.00011. eCollection 2018.

本文引用的文献

4
Fish in the matrix: motor learning in a virtual world.鱼在矩阵中:虚拟世界中的运动学习。
Front Neural Circuits. 2013 Jan 25;6:125. doi: 10.3389/fncir.2012.00125. eCollection 2012.
7
Parametric functional maps of visual inputs to the tectum.顶盖视输入的参数功能图。
Neuron. 2012 Oct 18;76(2):317-324. doi: 10.1016/j.neuron.2012.08.040. Epub 2012 Oct 17.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验