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Proceedings Paper

Optimal sorting of neural spikes with wavelet and filtering techniques
Author(s): Valeri A. Makarov; Alexey N. Pavlov; Anatoly N. Tupitsyn
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Paper Abstract

We show that robustness of sorting of neural spikes using the wavelet transform depends strongly on the statistics of experimental noise and the characteristic time scales of spike waveforms. Incorporating adaptive filtering of the extracellular potential into the wavelet sorting algorithm we propose a novel method, the Parametric Wavelet sorting with Advanced Filtering (PWAF), whose classification error approaches the theoretical minimum. Efficiency of the proposed technique is proved with both simulated and real electrophysiological recordings.

Paper Details

Date Published: 6 February 2008
PDF: 8 pages
Proc. SPIE 6855, Complex Dynamics and Fluctuations in Biomedical Photonics V, 68550M (6 February 2008); doi: 10.1117/12.769644
Show Author Affiliations
Valeri A. Makarov, Univ. Complutense de Madrid (Spain)
Alexey N. Pavlov, Saratov State Univ. (Russia)
Anatoly N. Tupitsyn, Saratov State Univ. (Russia)

Published in SPIE Proceedings Vol. 6855:
Complex Dynamics and Fluctuations in Biomedical Photonics V
Valery V. Tuchin; Lihong V. Wang, Editor(s)

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