S. Zeinolabedin, A. Do, Dongsuk Jeon, D. Sylvester, T. T. Kim
{"title":"Live demonstration: A 128-channel spike sorting processor featuring 0.175 μW and 0.0033 mm2 per Channel in 65-nm CMOS","authors":"S. Zeinolabedin, A. Do, Dongsuk Jeon, D. Sylvester, T. T. Kim","doi":"10.1109/APCCAS.2016.7804030","DOIUrl":null,"url":null,"abstract":"Multi-electrode intracranial recording technology is highly required for various applications such as brain studies, brain machine interface (BMI) and treatment of disorders like epilepsy, memory loss and paralysis. The recording is done by inserting electrodes into the extracellular tissue of the brain to supposedly record the single-unit activity. However, the recorded signal is the summation of some near-by neurons activities and the background noise. Therefore, after recording and digitizing the signal by analog front-end, the first crucial step is to extract the information from extracellular recording [1]. This process is called spike sorting and shown in Fig. 1. It basically assigns the detected spike to their source neurons located near the corresponding recording electrodes.","PeriodicalId":6495,"journal":{"name":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","volume":"117 1","pages":"734-735"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APCCAS.2016.7804030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Multi-electrode intracranial recording technology is highly required for various applications such as brain studies, brain machine interface (BMI) and treatment of disorders like epilepsy, memory loss and paralysis. The recording is done by inserting electrodes into the extracellular tissue of the brain to supposedly record the single-unit activity. However, the recorded signal is the summation of some near-by neurons activities and the background noise. Therefore, after recording and digitizing the signal by analog front-end, the first crucial step is to extract the information from extracellular recording [1]. This process is called spike sorting and shown in Fig. 1. It basically assigns the detected spike to their source neurons located near the corresponding recording electrodes.