Smoothing and thresholding in neuronal spike detection

Smoothing and thresholding in neuronal spike detection

We discuss spike detection for noisy neuronal data. Robust spike detection techniques are especially important for probes which have fixed electrode sites that cannot be independently manipulated to isolate signals from specific neurons. Low signal-to-noise ratio (SNR) and similarity of spectral cha...

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Veröffentlicht in:NeuroImage (Orlando, Fla.) Fla.), 2006-06, Vol.69 (10), p.1366-1370
Hauptverfasser: Mtetwa, Nhamoinesu, Smith, Leslie S.
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Cumulative energy
Smoothing
Template matching
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creator Mtetwa, Nhamoinesu
Smith, Leslie S.
description We discuss spike detection for noisy neuronal data. Robust spike detection techniques are especially important for probes which have fixed electrode sites that cannot be independently manipulated to isolate signals from specific neurons. Low signal-to-noise ratio (SNR) and similarity of spectral characteristic between the target signal and background noise are obstacles to spike detection. We propose a new technique based on cumulative energy.
doi_str_mv 10.1016/j.neucom.2005.12.108
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subjects Cumulative energy
Smoothing
Template matching
title Smoothing and thresholding in neuronal spike detection
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