Optimal sorting of neural spikes with wavelet and filtering techniques

Valeri A. Makarov; Alexey N. Pavlov; Anatoly N. Tupitsyn

doi:10.1117/12.769644

6 February 2008 Optimal sorting of neural spikes with wavelet and filtering techniques

Valeri A. Makarov, Alexey N. Pavlov, Anatoly N. Tupitsyn

Proceedings Volume 6855, Complex Dynamics and Fluctuations in Biomedical Photonics V; 68550M (2008) https://doi.org/10.1117/12.769644
Event: SPIE BiOS, 2008, San Jose, California, United States

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.

Citation Download Citation

Valeri A. Makarov, Alexey N. Pavlov, and Anatoly N. Tupitsyn "Optimal sorting of neural spikes with wavelet and filtering techniques", Proc. SPIE 6855, Complex Dynamics and Fluctuations in Biomedical Photonics V, 68550M (6 February 2008); https://doi.org/10.1117/12.769644

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