Synthetic EEG-like feature
Oscillatory EEG-like signal · arbitrary units
SIGNAL-RESPONSIVE INSTRUMENT — SYNTHETIC PERFORMANCE SCORE
Shape an evolving visual field with a synthetic EEG-like feature; let a separate synthetic ECG beat interval set the pulse. The mappings are authored, adjustable rules—not readings about a performer.
Display metaphor, not a hologram. The primary labels are “synthetic EEG-like feature” and “synthetic ECG-like beat stream”; “mind projection” and “heart projection” are metaphorical display labels only: this does not read thoughts, depict any real person’s mind or heart, or diagnose, monitor, or provide medical guidance. The ECG-like stream represents a synthetic electrical trace; no PPG is included.
PERFORMANCE VIEW — 2D LIVING SCORE
Oscillatory EEG-like signal · arbitrary units
ECG-like electrical trace · arbitrary units
INJECTED PARAMETER
β scales an EEG component patterned after synthetic beat times, delayed by τ. This is an experimental software injection—not physiology, causal evidence, or a person-specific relationship.
Turn up a synthetic disturbance added independently to both streams. Similar-looking signals can arise without injected EEG↔beat linkage.
LIVE MODEL SETTINGS
KNOWN-GROUND-TRUTH CHECK
Held-out seeds test recovery of injected β and τ, plus ECG beat alignment, after synthetic timing and sample damage. Generation and fitting use the same synthetic beat-template family, and the estimator receives known clock-offset corrections. The β/τ results are a matched-model implementation check—not a blind estimator or evidence of EEG/ECG generalization.
Ground truth: β = 0.36, τ = 180 ms, 72 BPM. Matched-model implementation check only: generation and fitting use the same synthetic beat-template family and known clock-offset corrections; not a blind estimator or evidence of EEG/ECG generalization.
For each held-out seed, the simulator creates separate EEG-like and ECG-like arrays, applies known relative clock skew, independent timestamp jitter, added noise, and independent sample drops, then estimates β/τ from the EEG stream against ECG-derived synthetic beat times. The fixed model is not tuned on those held-out seeds, but generation and fitting share the same synthetic beat-template family and fitting receives the known clock offsets. This is a matched-model implementation check, not a blind estimator or evidence of EEG/ECG generalization. Beat-alignment error is calculated only for detected beats matched to a ground-truth beat; the detected/true count is reported separately. Common noise is a separate confound example, not an injected β link.
MAPPING CONTROL CHECK
Compares mapped field output under signal-driven, time-shuffled, and zero-input conditions. Condition labels receive randomized software codes, but the code/scorer retains their mapping throughout; this is not a genuinely blinded or human-perception study.
Mapping error is mean absolute field-spread error versus the signal-driven target. The signal-driven arm is zero by construction (its target is generated by the same mapper from the same frames), so this is a matched-model software check, not independent validation. Frame-draw latency is measured locally by the browser. Shuffled and zero-input arms are explicit controls.