Computationally efficient fully-automatic online neural spike detection and sorting in presence of multi-unit activity for implantable circuits

Taimoor Tariq, Muhammad Hashim Satti, Hamid M. Kamboh, Maryam Saeed, Awais M. Kamboh

Abstract: Highlights•A fully-automatic neural spike sorting system for future hardware implementation.•An automatic detection threshold technique that improves detection significantly ( > 15%).•Higher-order energy operators are better for multi-unit activity detection.•A newly introduced feature that is able to distinguish multi-unit activity from single-unit.•The system is computationally very efficient.