docs(eeg): correct float64 dtype claim; tighten test match; clarify CLI default

feat(eeg): add run_pipeline orchestrator + CLI (FIF/EDF → Parquet)

fix(eeg): NaN-clean features for flat channels; guard zero-size epochs; assert WARNING

fix(eeg): validate epochs after filter to guarantee no NaN in feature table

feat(eeg): flatten 3D epochs into deterministic 2D feat_<ch>_<band|stat> table

refactor(eeg): bind STATS labels to callables; document moment conventions

feat(eeg): add compute_features_from_epoch (PSD bands + 5 statistics)

refactor(eeg): tighten ICA docstring + log accuracy; extract EOG threshold constant

feat(eeg): add remove_artifacts_with_ica with EOG correlation rejection

fix(eeg): guard bandpass_filter against inverted l_freq/h_freq; document picks=all

feat(eeg): add non-mutating bandpass_filter (default 1-40 Hz)

fix(eeg): tighten is_valid_epoch signature; reject non-numeric dtype + -inf

feat(eeg): add is_valid_epoch guard for NaN/inf/shape/dtype

docs(bbb): fix stale CSV mentions in run_pipeline + module docstrings

feat(bbb): switch processed output to Parquet for dtype preservation

refactor(bbb): pin LF lineterminator; move DEFAULTs to top; reject dir output

feat(bbb): add run_pipeline orchestrator + CLI entrypoint with idempotent writes

fix(bbb): guard empty input; truncate index log; add KeyError + log tests

feat(bbb): expand SMILES → Morgan FP into model-ready DataFrame with drift logging

refactor(bbb): migrate to MorganGenerator API; consolidate test imports

feat(bbb): add Morgan fingerprint extraction with shape/dtype guarantees

refactor(bbb): tighten is_valid_smiles signature; document RDLogger global effect

feat(bbb): add SMILES validity guard with RDKit + test fixture

fix(core): apply level + propagate every call; tolerate pre-attached handlers

feat(core): add shared structured logger with idempotent handler attach

chore: bootstrap NeuroBridge project skeleton