RT Book, Section
T1 Wavelet-analysis in application to studying spike separation and information encoding in neuron dynamics
A1 Makarov Slizneva, Valeriy
A1 Pavlov, Alexey N.
A1 Dumsky, Dmitry V.
A1 Tupitsyn, Anatoly N.
A1 Pavlova, Olga N.
A1 Panetsos Petrova, Fivos
A2 Tuchin, W.
AB 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 appropriate 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.
PB SPIE-INT SOC OPTICAL ENGINEERING
SN 0-8194-6127-X
YR 2006
FD 2006
LK https://hdl.handle.net/20.500.14352/53151
UL https://hdl.handle.net/20.500.14352/53151
NO Makarov Slizneva, V., Pavlov, A. N., Dumsky, D. V. et al. Wavelet-analysis in application to studying spike separation and information encoding in neuron dynamics. Editado por Valery V. Tuchin, 2006, p. 60850I. DOI.org (Crossref), https://doi.org/10.1117/12.663085.
NO Conference on Complex Dynamics and Fluctuations in Biomedical Photonics III. San Jose, CA. JAN 21-24,2006.
DS Docta Complutense
RD 6 abr 2025