SpikeInterface, a Unified Framework for Spike Sorting
March 25, 2021 | 5pm (CET), 8am (PST), 11am (EDT)
Dr. Marie Obien
VP Marketing and Sales at MaxWell Biosystems
Dr. Szilárd Sajgó
Application Specialist at MaxWell Biosystems
Dr. Alessio Buccino
Postdoctoral Fellow at ETH Zürich
Understanding how assemblies of neurons encode information requires recording of large populations of cells. In recent years, high-density multi-electrode arrays (HD-MEAs) have been developed to record simultaneously from thousands of electrodes. Each electrode records from multiple surrounding neurons at the same time. In order to assign electrical signals recorded by HD-MEAs to individual neurons, a critical step called spike sorting needs to be performed. During this step, the extracellular action potentials originating from hundreds to thousands of neurons need to be disentangled from the background noise and from each other.
We had an introduction to spike sorting in a webinar earlier this year (link to the replay) and are happy to host this new webinar as a follow-up.
Dr. Szilárd Sajgó, R&D scientist at MaxWell Biosystems, will:
- Explain the basic concept of spike sorting
- Highlight how HD-MEAs facilitate reliable spike clustering.
This is followed by Dr. Alessio Buccino, ETH Postdoctoral Fellow in the group of Prof. Hierlemann, who will:
- Present SpikeInterface, a Python framework designed to unify preexisting spike sorting technologies into a single codebase and to facilitate straightforward comparison and adoption of different approaches.
- Explain how, with a few lines of code, researchers can reproducibly run, compare, and benchmark most modern spike sorting algorithms; pre-process, post-process, and visualize extracellular datasets; validate, curate, and export sorting outputs; and more.
- Demonstrate the use of SpikeInterface on real and simulated datasets to reduce the burden of manual curation and to more comprehensively benchmark automated spike sorters.