Long-range intralaminar noise correlations in the barrel cortex.
Long-range intralaminar noise correlations in the barrel cortex.
复制标题
桶状皮质中的长程层内噪声相关性
DOI：
10.1152/jn.00981.2014
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发表时间：
2015
影响因子：
2.5
通讯作者：
Shamir M
中科院分区：
文献类型：
--
作者：
Reyes-Puerta V;Amitai Y;Sun JJ;Shani I;Luhmann HJ;Shamir M
识别新皮层神经元放电的相关特性是我们理解皮层信息处理的核心。人们普遍认为，由于新皮层的柱状结构，位于某个垂直区域的神经元的放电是高度相关的。另一方面，神经元之间的放电相关性随着水平距离的增加而急剧下降。采样具有足够空间信息的神经元的技术困难阻碍了对这些概念的批判性评估。我们使用128通道“硅探针”来检测麻醉大鼠桶状皮质中具有确定层流位置的多个神经元之间自发活动时的峰值计数噪声相关性。相关系数矩阵的特征分解表明，神经元的层流位置是这些相关性的重要决定因素，因此第5B/6层神经元的波动与第5A和第4层的波动方向相反。此外，我们发现，在每个实验中，水平、层内峰值数相关系数的分布，直到距离约1.5 mm，几乎与垂直相关系数的分布相同。综上所述，这些数据揭示了神经元的层状位置对其在皮层处理中的作用有着至关重要的影响。此外，我们的分析表明，这种层流效应延伸到几个功能柱。我们提出，在皮层内，水平元素的影响与垂直域的影响处于动态平衡状态，这种平衡被大脑状态调节，以塑造网络的行为。
Identifying the properties of correlations in the firing of neocortical neurons is central to our understanding of cortical information processing. It has been generally assumed, by virtue of the columnar organization of the neocortex, that the firing of neurons residing in a certain vertical domain is highly correlated. On the other hand, firing correlations between neurons steeply decline with horizontal distance. Technical difficulties in sampling neurons with sufficient spatial information have precluded the critical evaluation of these notions. We used 128-channel “silicon probes” to examine the spike-count noise correlations during spontaneous activity between multiple neurons with identified laminar position and over large horizontal distances in the anesthetized rat barrel cortex. Eigen decomposition of correlation coefficient matrices revealed that the laminar position of a neuron is a significant determinant of these correlations, such that the fluctuations of layer 5B/6 neurons are in opposite direction to those of layers 5A and 4. Moreover, we found that within each experiment, the distribution of horizontal, intralaminar spike-count correlation coefficients, up to a distance of ∼1.5 mm, is practically identical to the distribution of vertical correlations. Taken together, these data reveal that the neuron's laminar position crucially affects its role in cortical processing. Moreover, our analyses reveal that this laminar effect extends over several functional columns. We propose that within the cortex the influence of the horizontal elements exists in a dynamic balance with the influence of the vertical domain and this balance is modulated with brain states to shape the network's behavior.
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