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Maps fit to other sound classes predicted fixed animal sound patterns in 20 iEEG patients and 16 fMRI adults

We tested whether acoustic maps learned from environmental, mechanical and music sounds predict response differences among animal sounds. Separate human studies supplied signed iEEG LFP means and BOLD fMRI. Four people per primary study supplied development. A local code lock preceded tests in 20 other patients and 16 other adults. No Animal response fit a new scale, coefficient or penalty. The target panels had 17 electrical sounds and 15 MRI sounds. Mean centered error gains were 2.207% and 8.779%. Their 95% person Student intervals were [0.365,4.049]% and [7.060,10.498]%. The shared test passed after two-claim Holm correction, p=0.0214052. A fixed benefit test for 20 pitch and periodicity features failed, p=1. Eight adults from another MRI acquisition gave mean gain 9.548%, using the same MRI sounds. Resampling people and Animal sounds included zero in iEEG. A later coefficient resampling range also included zero. Shorter electrical windows, two training-class omissions and five-site MRI panels gave uncertain gains. A pre-event control gave mean -0.474%; the primary-minus-control mean was 2.681 points. All negative and zero scores remain. The result supports a prediction rule for fixed source panels, not broad transfer to new species or a common neural cause. Source selection, separate cohorts and corpora, unequal measurement filters and finite sounds limit scope. The package gives code, permitted compact inputs, source pins and terms, all results, figures and repeat steps. Fresh source chunks exactly matched 110,682 electrical means; a fresh acoustic rebuild matched all 14,520 MRI feature values.

human neuroscience · intracranial EEG · fMRI · animal sounds · acoustic encoding · cross-category transfer · held-out subjects · negative controls

Admitted 13 citing publications

References

14
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