Literature DB >> 28287541

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

Nicholas V Swindale1, Catalin Mitelut2, Timothy H Murphy3, Martin A Spacek4.   

Abstract

Few stand-alone software applications are available for sorting spikes from recordings made with multi-electrode arrays. Ideally, an application should be user friendly with a graphical user interface, able to read data files in a variety of formats, and provide users with a flexible set of tools giving them the ability to detect and sort extracellular voltage waveforms from different units with some degree of reliability. Previously published spike sorting methods are now available in a software program, SpikeSorter, intended to provide electrophysiologists with a complete set of tools for sorting, starting from raw recorded data file and ending with the export of sorted spikes times. Procedures are automated to the extent this is currently possible. The article explains and illustrates the use of the program. A representative data file is opened, extracellular traces are filtered, events are detected and then clustered. A number of problems that commonly occur during sorting are illustrated, including the artefactual over-splitting of units due to the tendency of some units to fire spikes in pairs where the second spike is significantly smaller than the first, and over-splitting caused by slow variation in spike height over time encountered in some units. The accuracy of SpikeSorter's performance has been tested with surrogate ground truth data and found to be comparable to that of other algorithms in current development.

Mesh:

Year:  2017        PMID: 28287541      PMCID: PMC5408889          DOI: 10.3791/55217

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  20 in total

1.  Spike sorting based on discrete wavelet transform coefficients.

Authors:  J C Letelier; P P Weber
Journal:  J Neurosci Methods       Date:  2000-09-15       Impact factor: 2.390

2.  Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.

Authors:  R Quian Quiroga; Z Nadasdy; Y Ben-Shaul
Journal:  Neural Comput       Date:  2004-08       Impact factor: 2.026

3.  Verification of multichannel electrode array integrity by use of cross-channel correlations.

Authors:  Nicholas V Swindale; Martin A Spacek
Journal:  J Neurosci Methods       Date:  2016-02-11       Impact factor: 2.390

4.  Klusters, NeuroScope, NDManager: a free software suite for neurophysiological data processing and visualization.

Authors:  Lynn Hazan; Michaël Zugaro; György Buzsáki
Journal:  J Neurosci Methods       Date:  2006-03-31       Impact factor: 2.390

5.  Cell type- and activity-dependent extracellular correlates of intracellular spiking.

Authors:  Costas A Anastassiou; Rodrigo Perin; György Buzsáki; Henry Markram; Christof Koch
Journal:  J Neurophysiol       Date:  2015-05-20       Impact factor: 2.714

6.  Spike detection methods for polytrodes and high density microelectrode arrays.

Authors:  Nicholas V Swindale; Martin A Spacek
Journal:  J Comput Neurosci       Date:  2014-11-20       Impact factor: 1.621

7.  Quantitative measures of cluster quality for use in extracellular recordings.

Authors:  N Schmitzer-Torbert; J Jackson; D Henze; K Harris; A D Redish
Journal:  Neuroscience       Date:  2005       Impact factor: 3.590

Review 8.  Population-wide distributions of neural activity during perceptual decision-making.

Authors:  Adrien Wohrer; Mark D Humphries; Christian K Machens
Journal:  Prog Neurobiol       Date:  2012-11-01       Impact factor: 11.685

9.  Applicability of independent component analysis on high-density microelectrode array recordings.

Authors:  David Jäckel; Urs Frey; Michele Fiscella; Felix Franke; Andreas Hierlemann
Journal:  J Neurophysiol       Date:  2012-04-04       Impact factor: 2.714

10.  Spike sorting for polytrodes: a divide and conquer approach.

Authors:  Nicholas V Swindale; Martin A Spacek
Journal:  Front Syst Neurosci       Date:  2014-02-10
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  2 in total

1.  CA1 Spike Timing is Impaired in the 129S Inbred Strain During Cognitive Tasks.

Authors:  Tolulope Adeyelu; Amita Shrestha; Philip A Adeniyi; Charles C Lee; Olalekan M Ogundele
Journal:  Neuroscience       Date:  2021-11-17       Impact factor: 3.590

Review 2.  From End to End: Gaining, Sorting, and Employing High-Density Neural Single Unit Recordings.

Authors:  Réka Barbara Bod; János Rokai; Domokos Meszéna; Richárd Fiáth; István Ulbert; Gergely Márton
Journal:  Front Neuroinform       Date:  2022-06-13       Impact factor: 3.739

  2 in total

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