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core.py
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10 days
sdil: normalize causal vectorizer regression
YurenHao0426
10 days
sdil: add feedback-first apical calibration
YurenHao0426
10 days
baseline: add unamortized node perturbation
YurenHao0426
10 days
fix: bound state-conditioned feedback features
YurenHao0426
10 days
method: condition apical vectorizers on neural state
YurenHao0426
10 days
results: freeze predictor timescale choice
YurenHao0426
10 days
docs: correct SDIL novelty boundary
YurenHao0426
10 days
feat: model endogenous mixed apical traffic
YurenHao0426
10 days
feat: add magnitude-matched raw apical control
YurenHao0426
10 days
perf: batch simultaneous perturbation directions
YurenHao0426
10 days
feat: multiplex causal probes across hidden layers
YurenHao0426
10 days
fix: calibrate feedback on the pre-update state
YurenHao0426
10 days
fix: model somato-dendritic baseline per neuron
YurenHao0426
10 days
fix: scale local updates by residual Jacobian
YurenHao0426
10 days
chore: capture initial SDIL project state
YurenHao0426