The manuscript has MANY more interesting analyses. For example, we saw that the intrinsic dimension of IEDs is lower than SWRs; that SWR-IED segregation can depend on the pre-processing; how is coupling between SWRs on macro- & microwires; and the unique spiking modulation patterns in SWRs vs IEDs

In addition, to speed up the curation of the detected events, we have developed ripmap, a UMAP-aided semi-automatic tool that bases its efficacy on @lmprida.bsky.social lab’s work. ripmap can effectively remove falsely labeled IEDs, reducing manual curation by up to 45%!
👉 github.com/acnavasolive...

So based on our current knowledge of rodent and human events, we started by determining what features define SWRs and IEDs, and created a pipeline to analyze epileptic intracranial EEG from start (select the optimal channel) to end (event curation)

The motivation of this work comes from the unsolved difficulties of analyzing intracranial EEG in epileptic patients, where the frequent epileptic-like events (interictal epileptiform discharges, or IEDs) interfere with SWR detection, resulting in painfully high false positives🥲