Normalized spatial quantiles separated speech or song from other sounds in six SEEG patients and 16 fMRI adults

We tested whether sound class information remains in spatial response distributions after site labels, spatial mean and positive gain are removed. Separate public studies supplied human SEEG high-gamma activity and fMRI BOLD estimates. A fixed reader used 19 normalized spatial quantiles. It fit one sound half in one repeat and predicted other sounds in another repeat. Two patients and four MRI adults supplied development. A local code lock preceded tests in six other patients and 16 other adults. Mean speech/song AUC was 0.74146 and 0.83643. Their 95% person Student intervals were [0.61578, 0.86714] and [0.78227, 0.89059]. All 22 people were above chance. The single shared rule required person mean and common sound-label tests in each modality. It passed, p=0.00216355. Fixed 24-site checks and eight further MRI records kept positive means. A later source-reader transfer check had intervals that included chance in both primary cross-modal directions. A fixed model with one signal direction gave perfect reading through class-dependent signal-to-noise ratio, but chance without noise. Thus measured gain removal does not identify an amplitude-independent neural code. The result supports separately readable normalized distributions in each selected measurement. It does not show universal weights, shared neural sources, semantic abstraction or causality. Source screening, sparse clinical coverage, cohort differences, a fixed sound library and unequal signal filters limit scope. Code, source pins and terms, all results, figures, audits and repeat instructions are supplied. Original neural arrays remain external.

auditory cortex · SEEG · fMRI · quantile · sound classification · invariant readout · signal-to-noise ratio · public data