Diversity, heterogeneity and orientation-dependent variation of spike count correlation in the cat visual cortex.
Diversity, heterogeneity and orientation-dependent variation of spike count correlation in the cat visual cortex.
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猫视觉皮层尖峰计数相关性的多样性、异质性和方向依赖性变化。
DOI：
10.1111/ejn.12363
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Y. Maruyama and H.Ito
中科院分区：
文献类型：
--
作者：
Toshinori Deguchi;T.Takahashi and Naohiro Ishii;Y. Maruyama and H.Ito
已知皮层神经元是噪声信息的编码器，在重复呈现相同刺激时显示出大的响应变异性。这些峰电位计数变异与细胞群相关，其神经元机制和功能意义尚未得到很好的理解。最近有很多关于相关性的总体平均值的大小的争论，从0.1到0.2一直到几乎为零。我们对猫的视觉皮层进行了多神经元记录，发现群体平均值并不一定代表相关变异的性质，因为尖峰计数相关性显示出显著的多样性和异质性。虽然总体平均值相对较小（0.06），但个体单位对的相关性分布在很宽的范围内，延伸到正值和负值。在大多数的记录会话的本地细胞群体（83%），显着的正相关共存，显着的负相关，在不同的单位对。此外，近20%的单位对表现出显着的变化，在不同的刺激方向的尖峰计数相关性。的尖峰计数相关性和发射活动的单位对之间的相关性分析表明，这两个数量的方向调谐性能是不可能起源于一个共同的神经元机制。多样性，异质性和上下文依赖性的变化表明，相关的尖峰计数变异性不是来自固定的解剖连接，而是来自神经元网络的动态相互作用。
Cortical neurons are known to be noisy encoders of information, showing large response variabilities with repeated presentations of identical stimuli. These spike count variabilities are correlated over the cell population and their neuronal mechanism and functional significance have not been well understood. Recently there has been much debate over the magnitude of the population mean of the correlation, ranging from 0.1 to 0.2 down to nearly zero. We performed multi‐neuron recordings on the cat visual cortex and found that the population mean did not necessarily represent the nature of correlated variabilities because the spike count correlation showed significant diversity and heterogeneity. Although the population mean was relatively small (0.06), the correlations of individual unit pairs were distributed over a broad range, extending to both positive and negative values. In most of the recording sessions of local cell populations (83%), significantly positive correlations coexisted with significantly negative ones in different unit pairs. Furthermore, nearly 20% of the unit pairs showed significant variation in the spike count correlation for different stimulus orientations. Correlation analysis between the spike count correlation and the firing activity of the unit pair suggested that the orientation tuning properties of the two quantities were unlikely to have originated from a common neuronal mechanism. Diversity, heterogeneity and context‐dependent variation suggests that the correlated spike count variabilities originate not from fixed anatomical connections but rather from the dynamic interaction of neuronal networks.