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The effect of DeepInterpolation on population geometry is stimulus-dependent: denoising preferentially preserves variance aligned with stimulus-driven subspaces while collapsing noise-driven dimensions, leaving the intrinsic manifold dimensionality of visually-evoked responses (as estimated by parti
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sha256:7ca77 — 5/29/2026, 11:27:30 PM (live)
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sha256:7ca77 — 5/29/2026, 11:27:30 PM (live)
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