In quest of the missing neuron: spike sorting based on dominant-sets clustering.
Τίτλος | In quest of the missing neuron: spike sorting based on dominant-sets clustering. |
Publication Type | Journal Article |
Year of Publication | 2012 |
Authors | Adamos, D. A., Laskaris N. A., Kosmidis E. K., & Theophilidis G. |
Journal | Comput Methods Programs Biomed |
Volume | 107 |
Issue | 1 |
Pagination | 28-35 |
Date Published | 2012 Jul |
ISSN | 1872-7565 |
Λέξεις κλειδιά | Action Potentials, Algorithms, Brain, Cluster Analysis, Electrodes, Electrophysiology, Humans, Models, Neurological, Neurons, Signal-To-Noise Ratio |
Abstract | Spike sorting algorithms aim at decomposing complex extracellular signals to independent events from single neurons in the electrode's vicinity. The decision about the actual number of active neurons is still an open issue, with sparsely firing neurons and background activity the most influencing factors. We introduce a graph-theoretical algorithmic procedure that successfully resolves this issue. Dimensionality reduction coupled with a modern, efficient and progressively executable clustering routine proved to achieve higher performance standards than popular spike sorting methods. Our method is validated extensively using simulated data for different levels of SNR. |
DOI | 10.1016/j.cmpb.2011.10.015 |
Alternate Journal | Comput Methods Programs Biomed |
PubMed ID | 22136935 |