2018
DOI: 10.21105/joss.00792
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SeqPeelSort: a spike sorting algorithm for single sensillum recordings

Abstract: SeqPeelSort is a spike sorting algorithm for single sensillum recordings (SSR). Single sensillum recordings are a standard technique in insect neuroscience. In such electrophysiological recordings, a single electrode is inserted into a sensory sensillum and the transepithelial potential is recorded. This technique is extensively (but not only) used in Drosophila olfaction studies (see for example Hallem, Ho, & Carlson (2004) or Lin & Potter (2015) and citations therein).

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“…Data analysis. Spike sorting was performed with a custom spike sorting algorithm for single sensillum recordings [14]. All further data analysis was performed with custom Python scripts.…”
Section: Methodsmentioning
confidence: 99%
“…Data analysis. Spike sorting was performed with a custom spike sorting algorithm for single sensillum recordings [14]. All further data analysis was performed with custom Python scripts.…”
Section: Methodsmentioning
confidence: 99%
“…To address this, we have developed a novel spike sorting algorithm Single-SensillumSort (SSSort) that explicitly builds a model of how the temporal shape of each neuron's spikes changes as a function of its own firing rate, and then uses these models to assign the best matching unit for a given spike. SSSort is a generalization and extension of SeqPeelSort (Raiser, 2018) with respect to arbitrary spike shape changes, via forming an explicit model of how these changes depend on firing rate. In brief, SSSort first detects all spikes in a recording and extracts the waveform shape around a temporal window.…”
Section: Spike Sortingmentioning
confidence: 99%