Experiments#

Planned experiments:

  • Future-state forecasting.

  • Masked neural reconstruction.

  • Cross-modal translation where paired modalities exist.

  • Few-shot subject adaptation.

  • Dataset/site generalization.

Baselines include ridge, MLP, TCN, Transformer, SSM fallback, modality specialists, and clearly labeled competitor references.

NFC experiments add synthetic latent-field recovery before real-data scaling. The comparison table includes current NeuroTwin, Pair-Operator, no-pair NFC, no-observation-operator NFC, and full NFC.

Current executable prepared-manifest suite:

  • ranks ridge, MLP, TCN, Transformer, SSM fallback, and NeuroTwin on forecasting, reconstruction, and cross-modal translation;

  • includes bootstrap confidence intervals for MSE/MAE in supervised prepared-task artifacts;

  • reports auxiliary few-shot subject adaptation and dataset/site generalization metrics;

  • labels synthetic prepared outputs as plumbing, not scientific evidence;

  • requires nt eval audit over event and split manifests before interpreting prepared benchmark artifacts.

First locked real-data protocol:

  • MOABB BNCI2014_001 with LeftRightImagery;

  • subject-held-out split built before windowing;

  • scripts/prepare_moabb_benchmark.sh prepares local manifests and runs audit/eval;

  • A100 training uses prepared manifests only and does not download data.

BIDS/OpenNeuro v1 validation is derivative-only: precomputed region/channel time-series derivatives are scanned, validated as finite 2D arrays, and converted to prepared events when present. Raw fMRI preprocessing is out of scope.