Skip to main content
main-content

Tipp

Weitere Artikel dieser Ausgabe durch Wischen aufrufen

01.06.2015 | Ausgabe 3/2015 Open Access

Journal of Computational Neuroscience 3/2015

Bayes optimal template matching for spike sorting – combining fisher discriminant analysis with optimal filtering

Zeitschrift:
Journal of Computational Neuroscience > Ausgabe 3/2015
Autoren:
Felix Franke, Rodrigo Quian Quiroga, Andreas Hierlemann, Klaus Obermayer
Wichtige Hinweise
Action Editor: Lance M. Optican
An erratum to this article can be found at http://​dx.​doi.​org/​10.​1007/​s10827-015-0555-7.

Abstract

Spike sorting, i.e., the separation of the firing activity of different neurons from extracellular measurements, is a crucial but often error-prone step in the analysis of neuronal responses. Usually, three different problems have to be solved: the detection of spikes in the extracellular recordings, the estimation of the number of neurons and their prototypical (template) spike waveforms, and the assignment of individual spikes to those putative neurons. If the template spike waveforms are known, template matching can be used to solve the detection and classification problem. Here, we show that for the colored Gaussian noise case the optimal template matching is given by a form of linear filtering, which can be derived via linear discriminant analysis. This provides a Bayesian interpretation for the well-known matched filter output. Moreover, with this approach it is possible to compute a spike detection threshold analytically. The method can be implemented by a linear filter bank derived from the templates, and can be used for online spike sorting of multielectrode recordings. It may also be applicable to detection and classification problems of transient signals in general. Its application significantly decreases the error rate on two publicly available spike-sorting benchmark data sets in comparison to state-of-the-art template matching procedures. Finally, we explore the possibility to resolve overlapping spikes using the template matching outputs and show that they can be resolved with high accuracy.

Unsere Produktempfehlungen

Premium-Abo der Gesellschaft für Informatik

Sie erhalten uneingeschränkten Vollzugriff auf alle acht Fachgebiete von Springer Professional und damit auf über 45.000 Fachbücher und ca. 300 Fachzeitschriften.

Literatur
Über diesen Artikel

Weitere Artikel der Ausgabe 3/2015

Journal of Computational Neuroscience 3/2015 Zur Ausgabe

Premium Partner

    Bildnachweise