Spike sorting by joint probabilistic modeling of neural spike trains and waveforms
Joint Authors
Matthews, Brett A.
Clements, Mark A.
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-16
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
This paper details a novel probabilistic method for automatic neural spike sorting which uses stochastic point process models of neural spike trains and parameterized action potential waveforms.
A novel likelihood model for observed firing times as the aggregation of hidden neural spike trains is derived, as well as an iterative procedure for clustering the data and finding the parameters that maximize the likelihood.
The method is executed and evaluated on both a fully labeled semiartificial dataset and a partially labeled real dataset of extracellular electric traces from rat hippocampus.
In conditions of relatively high difficulty (i.e., with additive noise and with similar action potential waveform shapes for distinct neurons) the method achieves significant improvements in clustering performance over a baseline waveform-only Gaussian mixture model (GMM) clustering on the semiartificial set (1.98% reduction in error rate) and outperforms both the GMM and a state-of-the-art method on the real dataset (5.04% reduction in false positive + false negative errors).
Finally, an empirical study of two free parameters for our method is performed on the semiartificial dataset.
American Psychological Association (APA)
Matthews, Brett A.& Clements, Mark A.. 2014. Spike sorting by joint probabilistic modeling of neural spike trains and waveforms. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-487650
Modern Language Association (MLA)
Matthews, Brett A.& Clements, Mark A.. Spike sorting by joint probabilistic modeling of neural spike trains and waveforms. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-487650
American Medical Association (AMA)
Matthews, Brett A.& Clements, Mark A.. Spike sorting by joint probabilistic modeling of neural spike trains and waveforms. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-487650
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 12
Record ID
BIM-487650