Employing ICA and SOM for spike sorting
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Thomas Hermle; Cornelius Schwarz; Martin Bogdan
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Article
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2004
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Elsevier Science
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English
β 295 KB
For classification of action potential shapes in multineuron recordings, we present a spike sorting system employing independent component analysis (ICA) and an unsupervised artificial neural network (Kohonen's self-organizing map, SOM). We focus on how ICA in the first stage of the spike sorting sy