Spike Sorting

Spike Interface Webinar and Tutorial

In this combined webinar and tutorial, with Alessio Buccino and Samuel Garcia, we cover the basics of using SpikeInterface for running multiple spike-sorting packages on extracellular raw spike data, recorded using our advanced silicon neural probes.

Spikeinterface is a collection of Python modules designed to improve the accessibility, reliability, and reproducibility of spike sorting and all its associated computations. With SpikeInterface, users can:

  • read/write many extracellular file formats | pre-process extracellular recordings | run many popular, semi-automatic spike sorters | post-process sorted datasets | compare and benchmark spike sorting outputs | validate and curate spike sorting outputs | visualize recordings and spike sorting outputs.

If you want to install SpikeInterface and run it with example raw data please visit: https://github.com/SpikeInterface... Feel free to use your own data later on!

Spike Sorting: Part 1
Spike Sorting: Part 1

Join us for an in-depth presentation by Samuel Garcia and Alessio Buccino describing the SpikeInterface project which aims to navigate the 'jungle' of spike-sorting packages under a common wrapper. The talk covers a brief history of spike-sorting, current challenges and describes the benefits and benchmarks of SpikeInterface, as a prelude to a hands-on demo / tutorial session (presented in the next webinar).
Spike Sorting: Part 2
Spike Sorting: Part 2

In Part 2 of our Spike Sorting Webinars, Samuel Garcia and Alessio Buccino provide an in-depth hands-on demo and tutorial session.