• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Computational Neuroscience >Modeling the impact of common noise inputs on the network activity of retinal ganglion cells
【24h】

Modeling the impact of common noise inputs on the network activity of retinal ganglion cells

机译：模拟常见噪声输入对视网膜神经节细胞网络活动的影响

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Synchronized spontaneous firing among retinal ganglion cells (RGCs), on timescales faster than visual responses, has been reported in many studies. Two candidate mechanisms of synchronized firing include direct coupling and shared noisy inputs. In neighboring parasol cells of primate retina, which exhibit rapid synchronized firing that has been studied extensively, recent experimental work indicates that direct electrical or synaptic coupling is weak, but shared synaptic input in the absence of modulated stimuli is strong. However, previous modeling efforts have not accounted for this aspect of firing in the parasol cell population. Here we develop a new model that incorporates the effects of common noise, and apply it to analyze the light responses and synchronized firing of a large, densely-sampled network of over 250 simultaneously recorded parasol cells. We use a generalized linear model in which the spike rate in each cell is determined by the linear combination of the spatio-temporally filtered visual input, the temporally filtered prior spikes of that cell, and unobserved sources representing common noise. The model accurately captures the statistical structure of the spike trains and the encoding of the visual stimulus, without the direct coupling assumption present in previous modeling work. Finally, we examined the problem of decoding the visual stimulus from the spike train given the estimated parameters. The common-noise model produces Bayesian decoding performance as accurate as that of a model with direct coupling, but with significantly more robustness to spike timing perturbations.
机译：视网膜神经节细胞（RGC）之间的同步自发放电，其时间尺度要比视觉响应快，在许多研究中已有报道。同步触发的两种候选机制包括直接耦合和共享噪声输入。在已广泛研究的显示快速同步放电的灵长类动物视网膜的相邻阳伞细胞中，最近的实验工作表明直接电或突触耦合很弱，但是在没有调制刺激的情况下共享的突触输入很强。但是，以前的建模工作并未考虑到阳伞细胞群体中射击的这一方面。在这里，我们开发了一个新模型，该模型结合了常见噪声的影响，并将其用于分析光响应和由250多个同时记录的阳伞单元组成的大型密集采样网络的同步发射。我们使用广义的线性模型，其中每个单元中的尖峰率由时空过滤后的视觉输入，该单元的时间上经过过滤的先前尖峰以及代表共同噪声的未观察源的线性组合确定。该模型可以准确地捕获峰值序列的统计结构和视觉刺激的编码，而无需在先前的建模工作中存在直接耦合假设。最后，我们研究了在给定估计参数的情况下，从峰值序列解码视觉刺激的问题。公共噪声模型产生的贝叶斯解码性能与具有直接耦合的模型一样精确，但是对尖峰定时扰动具有更强的鲁棒性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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