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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