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Modelling Spikes with Mixtures of Factor Analysers

2004

Conference Paper

ei


Identifying the action potentials of individual neurons from extracellular recordings, known as spike sorting, is a challenging problem. We consider the spike sorting problem using a generative model,mixtures of factor analysers, which concurrently performs clustering and feature extraction. The most important advantage of this method is that it quantifies the certainty with which the spikes are classified. This can be used as a means for evaluating the quality of clustering and therefore spike isolation. Using this method, nearly simultaneously occurring spikes can also be modelled which is a hard task for many of the spike sorting methods. Furthermore, modelling the data with a generative model allows us to generate simulated data.

Author(s): Görür, D. and Rasmussen, CE. and Tolias, AS. and Sinz, F. and Logothetis, NK.
Book Title: Pattern Recognition
Journal: Pattern Recognition: Proceedings of the 26th DAGM Symposium
Pages: 391-398
Year: 2004
Month: September
Day: 0

Series: LNCS 3175
Editors: Rasmussen, C. E. , H.H. B{\"u}lthoff, B. Sch{\"o}lkopf, M.A. Giese
Publisher: Springer

Department(s): Empirical Inference
Bibtex Type: Conference Paper (inproceedings)

DOI: 10.1007/978-3-540-28649-3_48
Event Name: 26th DAGM Symposium
Event Place: Tübingen, Germany

Address: Berlin, Germany
Digital: 0
Institution: Deutsche Arbeitsgemeinschaft für Mustererkennung e.V.
ISBN: 978-3-540-28649-3
Language: en
Organization: Max-Planck-Gesellschaft
School: Biologische Kybernetik

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BibTex

@inproceedings{2646,
  title = {Modelling Spikes with Mixtures of Factor Analysers},
  author = {G{\"o}r{\"u}r, D. and Rasmussen, CE. and Tolias, AS. and Sinz, F. and Logothetis, NK.},
  journal = {Pattern Recognition: Proceedings of the 26th DAGM Symposium},
  booktitle = {Pattern Recognition},
  pages = {391-398},
  series = {LNCS 3175},
  editors = {Rasmussen, C. E. , H.H. B{\"u}lthoff, B. Sch{\"o}lkopf, M.A. Giese},
  publisher = {Springer},
  organization = {Max-Planck-Gesellschaft},
  institution = {Deutsche Arbeitsgemeinschaft für Mustererkennung e.V.},
  school = {Biologische Kybernetik},
  address = {Berlin, Germany},
  month = sep,
  year = {2004},
  month_numeric = {9}
}