Wavelet methodology to improve single unit isolation in primary motor cortex cells

Journal of Neuroscience Methods
Alexis Ortiz-RosarioJohn A Buford

Abstract

The proper isolation of action potentials recorded extracellularly from neural tissue is an active area of research in the fields of neuroscience and biomedical signal processing. This paper presents an isolation methodology for neural recordings using the wavelet transform (WT), a statistical thresholding scheme, and the principal component analysis (PCA) algorithm. The effectiveness of five different mother wavelets was investigated: biorthogonal, Daubachies, discrete Meyer, symmetric, and Coifman; along with three different wavelet coefficient thresholding schemes: fixed form threshold, Stein's unbiased estimate of risk, and minimax; and two different thresholding rules: soft and hard thresholding. The signal quality was evaluated using three different statistical measures: mean-squared error, root-mean squared, and signal to noise ratio. The clustering quality was evaluated using two different statistical measures: isolation distance, and L-ratio. This research shows that the selection of the mother wavelet has a strong influence on the clustering and isolation of single unit neural activity, with the Daubachies 4 wavelet and minimax thresholding scheme performing the best.

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Citations

Jan 15, 2016·International Journal of Neural Systems·Dingguo ZhangXiangyang Zhu
Dec 2, 2015·International Journal of Neural Systems·Mengfan LiHuihui Zhou
Dec 19, 2015·International Journal of Neural Systems·Erwei YinTom Chau
Mar 24, 2016·International Journal of Neural Systems·Minpeng XuDong Ming
Oct 8, 2016·International Journal of Neural Systems·Irene RembadoLuciano Fadiga
Nov 23, 2016·International Journal of Neural Systems·Alessandro SantuzAdamantios Arampatzis
Feb 26, 2016·International Journal of Neural Systems·Fernando MontaniLuciano Fadiga
Oct 17, 2018·International Journal of Neural Systems·Andrés OrtizJavier Ramírez
Nov 9, 2017·International Journal of Neural Systems·Camillo PorcaroFranca Tecchio
Mar 3, 2020·International Journal of Neural Systems·Huirang HouQinghao Meng
Jan 17, 2019·International Journal of Neural Systems·Yurong LiYuan Yang
Jun 6, 2020·International Journal of Neural Systems·Filip Stojic, Tom Chau
Aug 15, 2018·International Journal of Neural Systems·Chen YangXiaorong Gao
May 18, 2018·International Journal of Neural Systems·Xiaogang ChenXiaorong Gao
Apr 9, 2020·Frontiers in Neuroscience·Cristian DonosAndrei Barborica
Feb 25, 2021·International Journal of Neural Systems·Camillo PorcaroAndrew P Bagshaw
Jun 29, 2021·International Journal of Neural Systems·Jing JinAndrzej Cichocki

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