Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits

Design of a hybrid neural spike detection algorithm for implantable integrated brain circuits

Real time spike detection is the first critical step to develop spike-sorting for integrated brain circuits interface applications. Nonlinear Energy Operator (NEO) and absolute thresholding have been widely used as the spike detection algorithms where NEO has a better performance measured by th...

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書目詳細資料
Main Authors:	Zeinolabedin, Seyed Mohammad Ali, Do, Anh Tuan, Yeo, Kiat Seng, Kim, Tony Tae-Hyoung
其他作者:	School of Electrical and Electronic Engineering
格式:	Conference or Workshop Item
語言:	English
出版:	2016
主題:	Spike Sorting Integrated brain circuits interface CMOS Subthreshold
在線閱讀:	https://hdl.handle.net/10356/82912 http://hdl.handle.net/10220/40373
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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