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

• 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

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...