SpikeInterface

…introduce available methods and the SpikeInterface framework, then cover preprocessing, running sorters, postprocessing, automatic and manual curation, and visualization. Participants can bring their own data for supervised analysis. The final morning addresses spike-train methods, including firing rates, population representations, waveform and cell-type analysis, connectivity through cross-correlograms, and decoding, wi

Electrophysiological recordings capture signals from hundreds of neurons simultaneously, but isolating single-cell activity often requires manual curation due to limitations in spike- sorting algorithms. As dataset sizes grow, the time and expertise required for accurate and consistent human curation pose a major challenge for experimental labs. To address this issue, we developed UnitRefine, a classification toolbox that leverages diverse machine-learning algorithms to minimize manual curation efforts. Using acute recordings with Neuropixel probes, we collected a large neural dataset with hig

…For example, SpikeInterface is an incredibly useful Python module for pre-processing and spike sorting of individual recordings. However, there are more steps in between raw data and spikes, such as synchronization of spike times between probes and histological reconstruction of probe insertions. Large collaborations, like the International Brain Laboratory (IBL), hav

This webinar will focus on spike sorting analysis with SpikeInterface, an open-source framework for the analysis of extracellular electrophysiology data. After a brief introduction of the project (~30 mins) highlighting the basics of the SpikeInterface software and advanced features (e.g., data compression, quality metrics, drift correction, cloud visualization), we will have an extensive hands-on tutorial (~90 mins) showing how to use SpikeInterface in a real-world scenario. After attending the webinar, you will: (1) have a global overview of the different steps involved in a processing pipe

…these limitations, we developed 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. With a few lines of code, researchers can reproducibly run, compare, and