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Updated: Mar 6, 2026

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Published on: February 10, 2017

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'.

Nicholas V Swindale¹, Catalin Mitelut², Timothy H Murphy³

¹Ophthalmology and Visual Sciences, University of British Columbia; swindale@mail.ubc.ca.

Journal of Visualized Experiments : Jove

|March 14, 2017

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This summary is machine-generated.

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SpikeSorter software offers electrophysiologists a user-friendly tool for reliably sorting neural spikes from multi-electrode array recordings. It automates detection and clustering, addressing common sorting challenges for accurate unit isolation.

Area of Science:

Neuroscience
Computational Neuroscience
Bioinformatics

Background:

Limited availability of user-friendly, comprehensive software for spike sorting from multi-electrode array recordings.
Need for reliable tools to detect and sort extracellular voltage waveforms from different neuronal units.

Purpose of the Study:

Introduce SpikeSorter, a novel software application designed for electrophysiologists.
Provide a complete, automated workflow for spike sorting, from raw data to sorted spike times.
Illustrate the program's functionality and address common sorting challenges.

Main Methods:

Utilizing previously published spike sorting algorithms within a new software program.
Automating procedures for filtering extracellular traces, detecting events, and clustering waveforms.

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A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'

Published on: February 10, 2017

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Illustrating solutions for artefactual over-splitting due to paired spikes or slow variations in spike height.

Main Results:

SpikeSorter provides a user-friendly graphical interface for spike sorting.
The software handles various data formats and offers flexible sorting tools.
Performance tested with surrogate data shows accuracy comparable to other developmental algorithms.

Conclusions:

SpikeSorter offers a robust and automated solution for spike sorting in electrophysiology.
The software effectively addresses common challenges in spike detection and unit isolation.
It represents a valuable tool for researchers working with multi-electrode array data.