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
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2016
• Subjects: Spike; Sorting; Integrated brain circuits interface; CMOS; Subthreshold
• Online Access: https://hdl.handle.net/10356/82912; http://hdl.handle.net/10220/40373
• Institution: Nanyang Technological University

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...