Smoothing and thresholding in neuronal spike detection

Authors:
Nhamoinesu Mtetwa;Leslie S. Smith
Affiliations:
Department of Computing Science and Mathematics, University of Stirling, Scotland, UK;Department of Computing Science and Mathematics, University of Stirling, Scotland, UK
Venue:
Neurocomputing
Year:
2006

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Abstract

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.