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Proceedings Paper

Wavelet-analysis in application to studying spike separation and information encoding in neuron dynamics
Author(s): Alexey N. Pavlov; Dmitry V. Dumsky; Anatoly N. Tupitsyn; Olga N. Pavlova; Fivos Panetsos; Valeri A. Makarov
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Paper Abstract

We study how the noise statistics influences the performance of separation of extracellularly recorded spikes by principal component analysis and wavelet-based technique. We show that the two approaches have different robustness against the frequency band of the experimental noise and an ppropriate filtering of the spike waveforms can significantly improve the results of separation. For the wavelet technique we suggest filter parameters optimizing spike separation. Finally we discuss a hypothesis that information encoding in neural dynamics may sometimes be considered in terms of frequency modulation.

Paper Details

Date Published: 3 March 2006
PDF: 8 pages
Proc. SPIE 6085, Complex Dynamics and Fluctuations in Biomedical Photonics III, 60850I (3 March 2006); doi: 10.1117/12.663085
Show Author Affiliations
Alexey N. Pavlov, Saratov State Univ. (Russia)
Dmitry V. Dumsky, Saratov State Univ. (Russia)
Anatoly N. Tupitsyn, Saratov State Univ. (Russia)
Olga N. Pavlova, Saratov State Univ. (Russia)
Fivos Panetsos, Univ. Complutense de Madrid (Spain)
Valeri A. Makarov, Univ. Complutense de Madrid (Spain)


Published in SPIE Proceedings Vol. 6085:
Complex Dynamics and Fluctuations in Biomedical Photonics III
Valery V. Tuchin, Editor(s)

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