作者: Carlos D. Brody
DOI: 10.1162/089976699300016133
关键词: Independence (probability theory) 、 Latency (engineering) 、 Neuroscience 、 Artificial intelligence 、 Synchronization 、 Mathematics 、 Spike (software development) 、 Spike train 、 Correlogram
摘要: Peaks in spike train correlograms are usually taken as indicative of timing synchronization between neurons. Strictly speaking, however, a peak merely indicates that the two trains were not independent. Two biologically plausible ways departing from independence capable generating peaks very similar to described here: covariations over trials response latency and neuronal excitability. Since due these interactions can be peaks, interpreting correlogram may problem with ambiguous solutions. What shapes do or excitability generate? When they peaks? ruled out having caused an observed peak? These questions addressed here. The previous article this issue proposes quantitative methods tell cases apart when cannot out.