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| author | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 13:05:04 -0500 |
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| committer | YurenHao0426 <Blackhao0426@gmail.com> | 2026-07-22 13:05:04 -0500 |
| commit | 2ec92906b45018665de97d6de63d6a754a1508d6 (patch) | |
| tree | d12b43b5ca1b4ee0ea94df55652be55ee86b483d /NOVELTY.md | |
| parent | 45d2b57310d556c4d1e78ee185279eda14189585 (diff) | |
analysis: identify hierarchical spatial credit bottleneck
Diffstat (limited to 'NOVELTY.md')
| -rw-r--r-- | NOVELTY.md | 9 |
1 files changed, 9 insertions, 0 deletions
@@ -50,6 +50,15 @@ BurstCCN already: Thus neither "apical dendrites carry vector errors", "the model reproduces Harnett Fig. 5", nor "a dendritic local rule scales to ImageNet" is a sufficient novelty claim. +Likewise, recursive spatial feedback, learned feedback convolutions, and local +ReLU-gated error propagation are not new by themselves. The post-failure +hierarchical oracle deliberately reconstructs a BP-like local adjoint and may +guide engineering, but it cannot be presented as an SDIL contribution. Any +trainable version must be compared directly with hierarchical FA, learned +feedback alignment/weight-mirroring methods, and BurstCCN. The Harnett-specific +claim remains the neutral-period somato-dendritic innovation operation under +mixed traffic. + ## Candidate SDIL contribution The candidate contribution is the combination |
