EEGFalsification
plain-language theorem explainer
EEGFalsification packages measured EEG peak frequencies together with tolerance and match-count thresholds to test the phi^n frequency prediction. Meditation EEG groups would cite the record when logging data against the Recognition Science hypothesis. It is introduced as a plain structure definition carrying three fields and two defaults.
Claim. A record holding a list of measured real peak frequencies, a tolerance parameter (default 0.2 Hz), and a minimum number of required matches (default 3) against the predicted phi-ladder.
background
The Experiments.Protocols module formalizes testable predictions from voxel theory as hypotheses equipped with explicit falsification criteria. One core claim is that EEG spectra exhibit peaks at phi^n Hz during meditation. The structure collects the raw frequency list, the acceptance window, and the count threshold needed to decide support or refutation. Upstream structures such as SpectralEmergence.of supply the dimensional counting that produces the phi-scaling, while PhiForcingDerived.of encodes the J-cost self-similarity underlying the frequency ladder.
proof idea
Structure definition with three fields and default values for tolerance and min_matches. No lemmas or tactics are invoked; the declaration simply introduces the data container consumed by the downstream isEEGFalsified predicate.
why it matters
Supplies the input type for isEEGFalsified, which implements the module-level falsification rule for the EEG phi-peak claim. It translates the phi-ladder (T5-T6) into an experimental protocol, closing the loop from the forcing chain to a concrete observation that can be compared against measured spectra.
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