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. Author manuscript; available in PMC: 2022 Apr 14.
Published in final edited form as: Nat Methods. 2021 Oct 14;18(11):1401–1408. doi: 10.1038/s41592-021-01285-2

Extended Data Fig. 8. Comparing DeepInterpolation with traditional denoising methods.

Extended Data Fig. 8

(A) Heatmap of 100 ms of Neuropixels data before and after applying three denoising methods: Gaussian filter, 2D Boxcar, and DeepInterpolation. (B) Distribution of RMS noise levels across channels shown in (A), computed over the same 10 s interval. The parameters for the Gaussian and Boxcar filters were chosen such that the resulting RMS noise distributions roughly matched that seen with DeepInterpolation. (C) Example voltage time series for one channel, before and after applying the three denoising methods shown in (A). (D) Relationship between original peak amplitude and denoised peak amplitude for all spikes in a 10 s window, from the same example channel shown in (C).