feat(eeg): log run params, metrics, and parquet artifact to MLflow

refactor(eeg): use core.determinism + core.storage helpers

docs: fix README cross-references; type _StatFn as a real Callable alias

refactor: pin single-threaded determinism env; close Day-2 doc/typo gaps

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