Comparison of valley seeking and T-distributed EM algorithm for spike sorting. Kretzberg, J, Coors, T, & Furche, J BMC Neuroscience, Springer, 2009.
Paper doi abstract bibtex Most analysis methods for neural spike data require knowledge about the exact spike times of individual neurons. To obtain this information from extracellular recordings, spike sorting is necessary to exclude measurement artifacts and to separate spikes from different neurons. The quality of spike sorting can have significant effects on the results of spike train analyses [1]. However, manual spike sorting leads to extremely variable results due to different sorting strategies of individual persons [2]. Therefore, reproducible results require …
@article{pop00237,
author = {J Kretzberg and T Coors and J Furche},
title = {Comparison of valley seeking and T-distributed EM algorithm for spike sorting},
journal = {BMC Neuroscience},
publisher = {Springer},
doi = {10.1186/1471-2202-10-S1-P47},
url = {https://link.springer.com/article/10.1186/1471-2202-10-S1-P47},
fulltext = {https://link.springer.com/content/pdf/10.1186/1471-2202-10-S1-P47.pdf},
related = {https://scholar.google.com/scholar?q=related:TY3dbXV9N68J:scholar.google.com/\&scioq=kretzberg+j+coors+t+furche+j+comparison+of+valley+seeking+and+%22t+distributed%22+em+algorithm+for+spike+sorting+bmc+neuroscience+2009+%22sep+10%22+1+p47\&hl=en\&as_sdt=0,5\&as_vis=1},
year = {2009},
abstract = {Most analysis methods for neural spike data require knowledge about the exact spike times of individual neurons. To obtain this information from extracellular recordings, spike sorting is necessary to exclude measurement artifacts and to separate spikes from different neurons. The quality of spike sorting can have significant effects on the results of spike train analyses [1]. However, manual spike sorting leads to extremely variable results due to different sorting strategies of individual persons [2]. Therefore, reproducible results require …},
}
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