Correlated firing in macaque visual area MT: Time scales and relationship to behavior
Correlated firing in macaque visual area MT: Time scales and relationship to behavior
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DOI：
10.1523/jneurosci.21-05-01676.2001
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发表时间：
2001-03-01
影响因子：
5.3
通讯作者：
Newsome, WT
中科院分区：
文献类型：
--
作者：
Bair, W;Zohary, E;Newsome, WT
我们研究了猴子在执行方向辨别任务时，用单个电极记录的视觉皮层MT区神经元对的同时活动。先前，我们报道了在行为时期的时间尺度（2秒）上尖峰计数的神经元间相关性的强度，并注意到其对信号汇集的潜在影响（Zohary等人，1994年）。我们现在已经在较长和较短的时间尺度上检查了相关性，并且发现成对互相关主要是短期的（10-100毫秒）。窄，中央峰的尖峰列车交叉相关图主要负责相关的尖峰计数的时间尺度上的行为时代。在自相关中观察到单个神经元反应性的长期（数秒至数分钟）变化;然而，这些缓慢的时间变化平均在神经元之间不相关。知识的有限的时间尺度的相关性允许推导出一个更有效的度量尖峰计数相关性的基础上尖峰定时信息，它也揭示了一个潜在的相对优势，较大的神经元池较短的整合时间。最后，相关性并不依赖于视觉刺激的存在或动物的行为选择。它随刺激条件变化不大，但在方向调谐曲线相似的神经元之间更强。两者合计，我们的研究结果加强了这样一种观点，即共同输入，共同刺激的选择性，共同的噪音是紧密相连的功能皮层电路。
We studied the simultaneous activity of pairs of neurons recorded with a single electrode in visual cortical area MT while monkeys performed a direction discrimination task. Previously, we reported the strength of interneuronal correlation of spike count on the time scale of the behavioral epoch (2 sec) and noted its potential impact on signal pooling (Zohary et al., 1994). We have now examined correlation at longer and shorter time scales and found that pair-wise cross-correlation was predominantly short term (10-100 msec). Narrow, central peaks in the spike train cross-correlograms were largely responsible for correlated spike counts on the time scale of the behavioral epoch. Longer-term (many seconds to minutes) changes in the responsiveness of single neurons were observed in auto-correlations; however, these slow changes in time were on average uncorrelated between neurons. Knowledge of the limited time scale of correlation allowed the derivation of a more efficient metric for spike count correlation based on spike timing information, and it also revealed a potential relative advantage of larger neuronal pools for shorter integration times. Finally, correlation did not depend on the presence of the visual stimulus or the behavioral choice of the animal. It varied little with stimulus condition but was stronger between neurons with similar direction tuning curves. Taken together, our results strengthen the view that common input, common stimulus selectivity, and common noise are tightly linked in functioning cortical circuits.