dc.contributor.author | Okatan, Murat | |
dc.date.accessioned | 2019-07-27T12:10:23Z | |
dc.date.accessioned | 2019-07-28T09:44:16Z | |
dc.date.available | 2019-07-27T12:10:23Z | |
dc.date.available | 2019-07-28T09:44:16Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 1300-0632 | |
dc.identifier.issn | 1303-6203 | |
dc.identifier.uri | https://dx.doi.org/10.3906/elk-1606-400 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12418/6993 | |
dc.description | WOS: 000406993300003 | en_US |
dc.description.abstract | Wave_clus is an unsupervised spike detection and sorting algorithm that has been used in dozens of experimental studies as a spike sorting tool. It is often used as a benchmark for comparing the performance of new spike sorting algorithms. For these reasons, the spike detection performance of Wave_clus is important for both experimental and computational studies that involve spike sorting. Two measures of spike detection performance are the number of false positive detections (type I error) and the number of missed spikes (type II error). Here, a new spike detection algorithm is proposed that reduces the number of misses and false positives of Wave_clus in a widely used simulated data set across the entire range of commonly used detection thresholds. The algorithm accepts a spike if its amplitude is larger than the amplitude of its two immediate neighbors, where an immediate neighbor is the nearest peak of the same polarity within 1 refractory period. The simultaneous reduction that is achieved in the number of false positives and misses is important for experimental and computational studies that use Wave_clus as a spike sorting tool or as a benchmark. A software patch that incorporates the algorithm into Wave_clus as an optional spike detection algorithm is provided. | en_US |
dc.description.sponsorship | Scientific Research Project Fund of Cumhuriyet University [TEKNO-002] | en_US |
dc.description.sponsorship | This work was supported by the Scientific Research Project Fund of Cumhuriyet University (Project No. TEKNO-002). | en_US |
dc.language.iso | eng | en_US |
dc.publisher | TUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEY | en_US |
dc.relation.isversionof | 10.3906/elk-1606-400 | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Biomedical signal processing | en_US |
dc.subject | spike sorting | en_US |
dc.subject | spike train | en_US |
dc.title | Taller Peaks: an improved spike detection algorithm that simultaneously reduces type I and type II errors for Wave_clus | en_US |
dc.type | article | en_US |
dc.relation.journal | TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES | en_US |
dc.contributor.department | [Okatan, Murat] Cumhuriyet Univ, Fac Technol, Dept Biomed Engn, Sivas, Turkey | en_US |
dc.contributor.authorID | OKATAN, MURAT -- 0000-0002-0064-6747 | en_US |
dc.identifier.volume | 25 | en_US |
dc.identifier.issue | 4 | en_US |
dc.identifier.endpage | 2594 | en_US |
dc.identifier.startpage | 2583 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |