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Osort TutorialA utomatic spike detection and s ortingUeli Rutishau serCali fornia Institute o f Technology Spike sor ting● Steps in spike sor ting:(1) Rea d raw data(2) Det ect spikes, extract their ra w wave form ( detection)(3) Fi nd th e peak of th e wavef orm, align ( alignment)(4) Determine to which cluster the sp ike belon gs ( sorting) OS ort● Os ort is a n implem entation of a te mplate based , unsu pervised online spike sor ting a lgorithm.● On line: sor ting is do ne spike -by-s pike. As soon a s a sp ike is detected,it is sor ted. Thus, th is a lgorithm can be us ed for realtime proc essing of data.● Unsupervised: The algor ithm and its implementation can b e r un automatically on lar ge d ata se ts. Fi gures (png) of all clusters are au tomatically creat ed fo r late r visua l inspection.● Supervised: Afte r the algor ithm f inishes, hu man oper ator nee ds to decide which cluster s ar e valid, which are a rtifical splits ( need to be merged) , which ar e SU A/M UA . Supported methods● Appa rt f rom the co re sorting algor ithm ( our own), Osort implements sever al oth er m ethods for spike d etection and alignment (see ref erences for deta ils) . ● Det ection:energy thre shold: based on a lo cal energy signal, similar to a TE O oper ator (teager ene rgy op erator)CDW : sp ike detection bas ed on a discr eet wave let decomposition● Alignmen t:MTEO alignm ent: multiscale t eager en ergy o perator ...
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