首页> 美国卫生研究院文献>PLoS Clinical Trials >Network Adaptation Improves Temporal Representation of Naturalistic Stimuli in Drosophila Eye: II Mechanisms
【2h】

Network Adaptation Improves Temporal Representation of Naturalistic Stimuli in Drosophila Eye: II Mechanisms

机译:网络适​​应改善果蝇眼中自然刺激的时间代表:II机制。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Retinal networks must adapt constantly to best present the ever changing visual world to the brain. Here we test the hypothesis that adaptation is a result of different mechanisms at several synaptic connections within the network. In a companion paper (Part I), we showed that adaptation in the photoreceptors (R1–R6) and large monopolar cells (LMC) of the Drosophila eye improves sensitivity to under-represented signals in seconds by enhancing both the amplitude and frequency distribution of LMCs' voltage responses to repeated naturalistic contrast series. In this paper, we show that such adaptation needs both the light-mediated conductance and feedback-mediated synaptic conductance. A faulty feedforward pathway in histamine receptor mutant flies speeds up the LMC output, mimicking extreme light adaptation. A faulty feedback pathway from L2 LMCs to photoreceptors slows down the LMC output, mimicking dark adaptation. These results underline the importance of network adaptation for efficient coding, and as a mechanism for selectively regulating the size and speed of signals in neurons. We suggest that concert action of many different mechanisms and neural connections are responsible for adaptation to visual stimuli. Further, our results demonstrate the need for detailed circuit reconstructions like that of the Drosophila lamina, to understand how networks process information.
机译:视网膜网络必须不断适应以最好地将不断变化的视觉世界呈现给大脑。在这里,我们测试了以下假设:适应性是网络内几个突触连接处不同机制的结果。在随附的论文(第I部分)中,我们证明了果蝇眼的感光器(R1-R6)和大型单极细胞(LMC)的适应性通过增强幅度和频率分布在几秒钟内提高了对代表性不足信号的灵敏度。 LMC对反复自然对比序列的电压响应。在本文中,我们表明这种适应需要光介导的电导和反馈介导的突触电导。组胺受体突变体果蝇中有缺陷的前馈通路加快了LMC的输出,模仿了极端的光适应性。从L2 LMC到感光器的错误反馈路径会减慢LMC输出,模仿暗适应。这些结果强调了网络自适应对于有效编码的重要性,并作为选择性调节神经元信号大小和速度的机制的重要性。我们建议,许多不同机制和神经连接的协同作用负责适应视觉刺激。此外,我们的结果表明需要像果蝇叶片那样进行详细的电路重构,以了解网络如何处理信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号