Regional and laminar differences in in vivo firing patterns of primate cortical neurons.
Regional and laminar differences in in vivo firing patterns of primate cortical neurons.
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DOI：
10.1152/jn.00896.2004
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发表时间：
2005-07
影响因子：
2.5
通讯作者：
S. Shinomoto;Y. Miyazaki;H. Tamura;I. Fujita
中科院分区：
文献类型：
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作者：
S. Shinomoto;Y. Miyazaki;H. Tamura;I. Fujita
皮层神经元的放电率随时间变化;然而，它们在体内的放电特性的某些方面保持不变，并且是特定于单个神经元的。最近的一项研究表明，在猴子内侧运动区的神经元可以分为2个放电类型，“可能随机”和“准规则”，根据测量的局部变化的interspike间隔。在本研究中，我们将这种分析扩展到下颞叶皮层的TE区，并讨论了这种分类是否普遍适用于不同的皮层区域，以及不同类型的神经元是否表现出不同的层状分布。我们发现，TE区确实由2组具有不同放电特征的神经元组成，一组类似于内侧运动皮层区的“可能随机”类型，另一组表现出TE特有的“丛簇-突发”放电模式。类规则型在TE区少见。可能的随机放电类型的神经元更频繁地发现在层V-VI比在层II-III，而相反的是真实的丛-突发放电类型。这些结果表明，新皮质区域由异质神经元组成，这些神经元的基本放电特征因区域而异。此外，我们表明，从单个皮层神经元获得的尖峰列车可以提供一个线索，有助于确定其层定位。
The firing rates of cortical neurons change in time; yet, some aspects of their in vivo firing characteristics remain unchanged and are specific to individual neurons. A recent study has shown that neurons in the monkey medial motor areas can be grouped into 2 firing types, "likely random" and "quasi-regular," according to a measure of local variation of interspike intervals. In the present study, we extended this analysis to area TE of the inferior temporal cortex and addressed whether this classification applies generally to different cortical areas and whether different types of neurons show different laminar distribution. We found that area TE did consist of 2 groups of neurons with different firing characteristics, one similar to the "likely random" type in the medial motor cortical areas, and the other exhibiting a "clumpy-bursty" firing pattern unique to TE. The quasi-regular type was rarely observed in area TE. The likely random firing type of neuron was more frequently found in layers V-VI than in layers II-III, whereas the opposite was true for the clumpy-bursty firing type. These results show that neocortical areas consist of heterogeneous neurons that differ from one area to another in their basic firing characteristics. Moreover, we show that spike trains obtained from a single cortical neuron can provide a clue that helps to identify its layer localization.