Blog Archive

Αλέξανδρος Γ. Σφακιανάκης

Wednesday, January 26, 2022

Objective evaluation of stimulation artefact removal techniques in the context of neural spike sorting

xlomafota13 shared this article with you from Inoreader

J Neural Eng. 2022 Jan 25. doi: 10.1088/1741-2552/ac4ecf. Online ahead of print.

ABSTRACT

Objective - We present a framework to objectively test and compare stimulation artefact removal techniques in the context of neural spike sorting. Approach - To this end, we used realistic hybrid ground-truth spiking data, with superimposed artefacts from in vivo recordings. We used the framework to evaluate and compare several techniques: blanking, template subtraction by averaging, linear regression, and a multi-channel Wiener filter (MWF). Main results - Our study demonstrates that blanking and template subtraction result in a poorer spike sorting performance than linear regression and MWF, while the latter two perform similarly. Finally, to validate the conclusions found from the hybrid evaluation framework, we also performed a qualitative analysis on in vivo recordings without artificial manipulations. Significance - Our framework allows direct quan tification of the impact of the residual artefact on the spike sorting accuracy, thereby allowing for a more objective and more relevant comparison compared to indirect signal quality metrics that are estimated from the signal statistics. Furthermore, the availability of a ground truth in the form of single-unit spiking activity also facilitates a better estimation of such signal quality metrics.

PMID:35078163 | DOI:10.1088/1741-2552/ac4ecf

View on the web

No comments:

Post a Comment