Table 1.

Overview of spike metrics to quantify spike reconstruction accuracy.

Simulated spikes may be either detected (true positive, TP) or missed (MS) by the reconstruction algorithm. We call the ratio of true discoveries to the total number of simulated spikes the True Positive Rate, TPR = TP/(TP + MS) or “recall.” On the other hand, spikes detected by the reconstruction algorithm may be matched by a simulated spike (true positive, TP) or represent false detections (false discovery, FD). We call the ratio of false discoveries to the total number of detected spikes the False Discovery Rate, FDR = FD/(TP + FD). In information retrieval theory (Davis and Goadrich, 2006), (1 − FDR) is also known as “precision.” Both TPR and FDR are defined as 0 for the special case of no simulated or reconstructed spikes, respectively.