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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 13:33:33 -0500 |
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| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 13:33:33 -0500 |
| commit | 0db651ac83608ea8f5b94950a391da22f076a142 (patch) | |
| tree | aae335ea16eb1b2f8981ba1217b2f91cdc2ae9b9 /NOVELTY.md | |
| parent | c27e0824a41e6c54dd9079f17c20c306c5f2e9c9 (diff) | |
baseline: add normalized local response mirroring
Diffstat (limited to 'NOVELTY.md')
| -rw-r--r-- | NOVELTY.md | 6 |
1 files changed, 6 insertions, 0 deletions
@@ -65,6 +65,12 @@ not by itself make recursive learned feedback novel. It is treated as a credit-path engineering component unless the complete innovation model shows a load-bearing residualization result beyond those mandatory comparators. +Likewise, the normalized local response-mirror path is explicitly inherited +from weight mirroring/weight estimation. Even if it recovers BP-level scale, +that performance belongs to the baseline. A paper-level SDIL gain requires the +somato-dendritic innovation subtraction to remain necessary on top of the +mirrored hierarchical path under a frozen mixed-traffic intervention. + ## Candidate SDIL contribution The candidate contribution is the combination |
