Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
408775 | Neurocomputing | 2006 | 5 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Nhamoinesu Mtetwa, Leslie S. Smith,