A comprehensive review of spike sorting algorithms in neuroscience
Wentao Quan1 , Youguo Hao2 , Xudong Guo1 , Peng Wang1 , Yukai Zhong3
1 School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China. 2 Putuo District People’s Hospital, Shanghai 200060, China. 3 Yangpu District Kongjiang Hospital, Shanghai 200082, China.
Address correspondence to: Youguo Hao, Putuo District People’s Hospital, No.1291 Jiangning Road, Putuo, Shanghai 200060, China. Email: youguohao6@163.com.
Acknowledgement: This work was supported by the Science and Technology Innovation Plan of Shanghai Science and Technology Commission (22S31902200).
DOI: https://doi.org/10.61189/016816myowlr
Received December 17, 2023; Accepted January 15, 2024; Published June 30, 2024
Highlights
● The detailed steps of spike sorting algorithm and the different algorithms used in each step are summarized.
● The advantages and disadvantages of each step of spike sorting algorithm are compared.
● The detailed application of deep learning technology in spike sorting is introduced.
Review Article |Published on: 28 June 2024
[Progress in Medical Devices] 2024; 2 (2): 54-65.