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authorYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:47:35 -0500
committerYurenHao0426 <Blackhao0426@gmail.com>2026-07-22 13:47:35 -0500
commit1e4fbaf8e773509798387d19b806f6daf38f8b5c (patch)
tree43d5fe00aa7e1252e884c35cf3ae5a102799f073 /BASELINES.md
parent203e75987d02cdb8c317e3302e1f05c9a4beb0e3 (diff)
baseline: add residual response mirroring
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@@ -27,6 +27,11 @@ The audited implementations and completed results are in `RESULTS.md`:
forward synapses, and a separate update consumes only parent/child activities
to estimate each feedback kernel. It is deliberately treated as a strong
learned-FA baseline, not as SDIL novelty;
+- residual response mirroring (`rrm`) replaces WM's noisy estimate-then-average
+ step with local normalized LMS on the child-response prediction error. Its
+ stochastic update vanishes sample-by-sample at Q=W; the extra feedback
+ prediction convolution is included in MAC accounting. It is also an
+ inherited learned-alignment control;
- direct node perturbation uses a causal target on every hidden update and no
learned vectorizer;
- the no-traffic, `P=0` SDIL backbone is learned direct feedback by node