The integrated spike detector adapts to the noise level of the data and extracts the individual spike events for each channel together with a short cutout representing the spike waveform. Spike detection is possible based on thresholds for either the raw signal or the signal slope.
The timing of the individual spike events is used by the burst detector to detect and extract measures for neuronal bursting.
A network burst detector analyzes the bursting activity of all channels in a well to identify synchronized bursting activity throughout the culture. All of these detection algorithms are highly customizable for perfect adaptation to your data.