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For 122 fixed sounds, mean matching within classes was above chance between one ECoG panel and two fMRI groups

We tested direct sound matching between a selected human ECoG panel and two separate fMRI studies. Twenty anchor sounds set site scales and distance profiles. The fixed test used 122 other sounds from 12 classes. Every false choice had the correct sound class. A local code lock preceded scores in 16 reserved B2021 adults. Mean rank AUCs were 0.60572 and 0.64096 in the two query directions. Chance is 0.5. The fixed test passed, two-claim Holm p=0.0002. An unchanged check in eight NH2015 adults gave 0.61199 and 0.63235, Holm p=0.0078125. A second acoustic-subtraction endpoint also passed. However, an exact category-only example rose from AUC 0.5 before subtraction to 1 after subtraction. Fitted acoustic subtraction can create fine matching and does not identify non-acoustic neural information. The original endpoint has an exact category-only guard. The electrical evidence is conditional on 32 distinct example profiles without released patient labels. There is no electrical patient holdout or population interval. Both MRI groups share the sounds and electrical reference. Small classes made 2774 of 4999 full target bootstrap draws undefined; defined-draw ranges are conditional. All negative person and class results remain. The package supplies source pins and terms, code, plans, complete scores and references, figures, exact limits and repeat instructions. This is measured correspondence for fixed sounds, not a shared neural cause or a semantic code.

human neuroscience · ECoG · fMRI · natural sounds · sound matching · representational similarity · acoustic controls · reproducibility

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References

9
  1. usesAcoustic models predicted response differences within omitted sound categories in one iEEG panel and eight fMRI adults sci:sha256:5c06505284411649f8808f2e92a03fe96c9928cb7c5b391004f0030f358a3a94

    We use its source pins and duplicate-file audit. Its acoustic prediction endpoint differs from direct cross-measurement sound matching.

  2. usesUnder person t tests, mean voice transfer was above chance in six SEEG patients and two fMRI groups; the test for all nine clips failed sci:sha256:e154426ef68100da050dabfc91ac4f2c44ffa6867711e507a08e2810a436ef75

    We use its MRI archive pins and adapt its MIT source-fetch structure. Its electrical dataset is not used here.

  3. A fixed rank test did not confirm shared sound map identity matching across different sites in eight SEEG patients and 28 fMRI adults sci:sha256:14ea20e6b74eeb1fa3709a8dd4dd439db380cd96a3c2db684eb25c522c7f8352

    Related rank assay for within-study person matching across sites; the present assay matches sound identities between modalities.

  4. usesdoi:10.1016/j.cub.2022.01.069

    Original human electrical study and public selected example response files and acoustic features, at the documented Git pin.

  5. usesdoi:10.1016/j.neuron.2015.11.035

    Original NH2015 human fMRI acquisition and hash-pinned public response matrix.

  6. usesdoi:10.1152/jn.00588.2020

    Original B2021 human fMRI acquisition.

  7. usesdoi:10.1371/journal.pbio.3002366

    Public B2021 derivative archive, source screening descriptions and evidence for different MRI participant groups.

  8. doi:10.3389/neuro.06.004.2008

    Established representational similarity framework.

  9. doi:10.7554/eLife.82566

    Inference over people and conditions in representational geometry analysis.

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