Use of correlation to assess the signal content of patterns of spike activity reflecting the population response of relays of the central auditorimotor system of cats

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Simulation Studies of the Latency Measures of Components of Event-Related Brain Potentials

We compared the accuracy of P300 latency estimates obtained with different procedures under several simulated signal and noise conditions. Both preparatory and signal detection techniques were used. Preparatory techniques included frequency filters and spatial filters (single electrode selection and Vector filter). Signal detection techniques included peak‐picking, cross‐correlation, and Woody filter. Accuracy in the latency estimation increased exponentially as a function of the signal‐to‐noise ratio. Both Woody filter and cross‐correlation provided better estimates than peak‐picking, although this advantage was reduced by frequency filtering. For all signal detection techniques, Vector filter provided better estimates than single electrode selection. Large component overlap impaired the accuracy of the estimates obtained with both single electrode selection and Vector filter, but with Vector filter impairment occurred only when the overlapping component had a scalp distribution that was similar to the scalp distribution of the signal component. The effects of varying noise characteristics, P300 duration and latency, and the parameters of Vector filter were also investigated