Question: Is possible/reasonable to include "select_peaks" to run_node_pipeline?

Hello,

During our preprocessing pipeline, we are plotting the peak locations. We are in the process of updating SpikeInterface to version 0.104.8, and I saw that now there is a new way to improve the speed of this process: detect_peaks -> localize_peaks (https://spikeinterface.readthedocs.io/en/0.104.8/modules/sortingcomponents.html#node-pipelines).

We want to implement this new feature. However, when plotting peak locations, it is always useful to plot a subsample of the peaks (via "select_peaks"); otherwise, it can be difficult to appreciate motion.

I was just wondering if "select_peaks" can also be added to the node_pipeline. If so, how can it be implemented? Or, given the efficiency of using run_node_pipeline, should we do the subsample after we get the peaks and peaks_locations?

Thanks in advance for your help¡
Best
Pepe

Start with the node-pipelines documentation entry point and the mentioned detect_peaks, localize_peaks, select_peaks, and run_node_pipeline APIs. Compare how subsampling is currently handled for peak locations, then establish whether select_peaks belongs in the node pipeline or after its outputs; done means a documented, maintainer-approved recommendation or a clearly scoped implementation plan.