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Fernando J. Chaure edited this page Aug 13, 2018 · 13 revisions

Intro

A large amount of research in neurophysiology is based on the analysis of extracellular potentials recorded with microwires that capture the action potentials (spikes) of neurons in their surroundings. For many applications it is crucial to know which spike correspond to which neuron, namely -spike sorting- and since recent acquisition systems allows the simultaneous recording of hundreds of channels, it is also important to do this automatically (or semi-automatically) and fast. Wave_clus is a fast and unsupervised algorithm for spike detection and sorting. Although it gives a first unsupervised solution, this can be further modified according to the experimenters’ preference (semi-automatic sorting).

Content

  • Input Files - Data files than can be open and analyzed using wave_clus.

  • Ouput Files - Files created by Wave_clus as results.

  • Parameters - Parameter definitions and behaviour explained.

  • Graphical User Interface - How to use the GUI of Wave_clus.

  • Polytrodes - How to use Wave_clus with polytrodes.

  • FAQs - Frequently Asked Questions.

  • Developer Wiki - Information about the internal implementation of Wave_clus.

  • Tips & Tricks - Improve performance and usability.

  • Planned Development - List of improvements, new features and related projects planned for the future.

For a non technical reference about spike sorting see:

Quick guide: Spike Sorting. Quian Quiroga, R. Current Biology, Vol 22. R45–R46, 2012.

Spike Sorting. R. Quian Quiroga. Scholarpedia 2 (12): 3583. 2007

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