Automated detection of latency tracks in microneurography recordings using track correlation
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- 作者：Brian Turnquista ; turnquist@bethel.edu" class="auth_mail" title="E-mail the corresponding author ; Brandon RichardWebstera ; b ; bjrichardwebster@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Barbara Namerc ; namer@physiologie1.uni-erlangen.de" class="auth_mail" title="E-mail the corresponding author
- 关键词：Microneurography ; Latency tracking ; Marking ; Track correlation
- 刊名：Journal of Neuroscience Methods
- 出版年：2016
- 出版时间：15 March 2016
- 年：2016
- 卷：262
- 期：Complete
- 页码：133-141
- 全文大小：4239 K
文摘
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We developed a method for automatically tracking changes in action potential latency in microneurographic recordings.
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Our track correlation filter enhances the contrast between latency tracks and background noise to detect spikes that would be missed using other techniques.
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Our track correlation filter eliminates signals not temporally correlated with the stimulus, e.g. noise spikes and spontaneous neural firing.
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Our track correlation filter detects signals independent of spike amplitude and spike shape characteristics.