Fixed tests did not confirm shared animal–voice transfer in both directions in 16 iEEG patients and 16 fMRI adults

We tested whether a response direction learned from human voice sounds can classify animal sounds, and whether transfer works in reverse. Separate public human studies supplied signed iEEG local field potential means and BOLD fMRI estimates. Four people per modality supplied development. A local code lock preceded tests in 16 other patients and 16 other adults. Electrical responses used a duration-matched pre-onset subtraction. Training and test clips were disjoint. Mean transfer AUCs were 0.5529 and 0.5707 in iEEG, and 0.7239 and 0.8752 in fMRI. All four pointwise 95% person Student intervals were above 0.5. The fixed shared rule required a positive mean, a majority of people, and a label reference. It failed, Holm p=0.68175. Electrical positive counts were 11/16 and 10/16. The shared advantage over a fixed acoustic reader also failed. We added a third test after development. It compared training families with equal example counts and the same test sounds. Human-target mean gains were 0.0813 and 0.0281; animal-target gains were 0.0103 and -0.0057. Its shared rule failed, Holm p=1. All three claims remain. Eight records from another MRI acquisition gave positive transfer; participant overlap between MRI studies was not verified. Joint person-and-sound ranges included chance in both electrical directions and stayed above chance in MRI. Whole-sound refits, negative people, controls and source checks are preserved. Source labels include nonvocal animal clips, breathing and whistling. Different cohorts, sparse clinical sampling, trial means, source filters, prior site screens and unequal sound libraries limit scope. The contribution is a reproducible transfer audit and a negative shared decision. It does not show absent neural information, common semantic coding or causality.

human neuroscience · intracranial EEG · fMRI · auditory cortex · animal sounds · human voices · category transfer · acoustic controls · subject inference · sound resampling · negative result · public data