In this combined webinar and tutorial, with Alessio Buccino and Samuel Garcia, we cover the basics...
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. 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).
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!
