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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 06:45:17 -0500 |
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| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 06:45:17 -0500 |
| commit | 6289421c7ab1d74d7a3126bbde09b5c198ba00da (patch) | |
| tree | ef17089c756754062f38d16d2a75e0f9b39b0f26 /RESULTS.md | |
| parent | d2c57dd0570b9f7eac4c4b4f35efb9fec8c5be77 (diff) | |
results: audit innovation figure statistics
Diffstat (limited to 'RESULTS.md')
| -rw-r--r-- | RESULTS.md | 7 |
1 files changed, 7 insertions, 0 deletions
@@ -120,6 +120,13 @@ result therefore depends on subtracting the soma-predictable component, not mere normalizing an oversized update. This is the most direct evidence that the Harnett-specific innovation operation is algorithmically necessary. +The strict Figure 3 renderer now audits all 60 cells directly from their clean result records. At +`rho=0.5`, the paired innovation gains are `+86.968 ± 0.626` points over raw and +`+87.038 ± 0.607` over norm-matched raw. Mean final all-layer alignment of the signal actually used +for learning is `-0.438 ± 0.075` for raw, `-0.114 ± 0.176` for norm-matched raw, and +`+0.205 ± 0.020` for innovation. Thus subtraction preserves both task performance and a descent +direction; positive per-example norm matching cannot rotate the contaminated raw signal. + ## Continuous-BCI Harnett-signature screen (development only) The oral-B protocol was committed before any result and then run as a complete |
