Spike detection methods for polytrodes and high density microelectrode arrays

DOI10.1007/S10827-014-0539-ZzbMath1409.92140DBLPjournals/jcns/SwindaleS15OpenAlexW1965202386WikidataQ46090224 ScholiaQ46090224MaRDI QIDQ1732690

Martin A. Spacek, Nicholas V. Swindale

Publication date: 25 March 2019

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-014-0539-z

zbMATH Keywords

clusteringevent detectionmulti-electrode arraysspike sortingneurophysiological recordingpolytrodestetrodes

Mathematics Subject Classification ID

Neural biology (92C20) Biomedical imaging and signal processing (92C55)

Cites Work

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• The estimation of the gradient of a density function, with applications in pattern recognition
• A review of methods for spike sorting: the detection and classification of neural action potentials
• Bayesian Modeling and Classification of Neural Signals
• Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering
• On amplitude and frequency demodulation using energy operators

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