Correlations without synchrony
Correlations without synchrony
复制标题
DOI：
10.1162/089976699300016133
复制
发表时间：
1999-10-01
影响因子：
2.9
通讯作者：
Brody, CD
中科院分区：
文献类型：
--
作者：
Brody, CD
尖峰训练相关图中的峰通常被视为神经元之间的尖峰时序同步。但是，严格来说，峰值仅表明这两个尖峰火车不是独立的。这里描述了两种能够产生与尖峰时序峰非常相似的峰值的生物学上合理的方式：在反应潜伏期和协方差的试验中，对神经元兴奋性的试验的协变量。由于由于这些相互作用引起的峰可能与尖峰时序峰相似，因此解释相关图可能是歧义溶液的问题。潜伏期或兴奋性相互作用会产生哪些峰形状？它们什么时候与尖峰计时峰相似？什么时候可以从引起观察到的相关图峰中排除？这些是这里解决的问题。本期本期的上一篇文章提出了定量方法，以分开案例，何时不能排除潜伏期或兴奋性协变量。
Peaks in spike train correlograms are usually taken as indicative of spike timing synchronization between neurons. Strictly speaking, however, a peak merely indicates that the two spike trains were not independent. Two biologically plausible ways of departing from independence that are capable of generating peaks very similar to spike timing peaks are described here: covariations over trials in response latency and covariations over trials in neuronal excitability. Since peaks due to these interactions can be similar to spike timing peaks, interpreting a correlogram may be a problem with ambiguous solutions. What peak shapes do latency or excitability interactions generate? When are they similar to spike timing peaks? When can they be ruled out from having caused an observed correlogram peak? These are the questions addressed here. The previous article in this issue proposes quantitative methods to tell cases apart when latency or excitability covariations cannot be ruled out.