For two fixed non-vocal sound panels, pair relations agreed across 15 iEEG patients and 12 fMRI adults after one training pattern was removed
We tested whether sound pair relations repeat across people after one training response pattern is removed. Separate human studies supplied signed intracranial EEG and BOLD fMRI. Each study used four reference people and four development people. Calibration sounds set site scales and the leading response direction. A fixed test used other non-vocal sounds in 15 patients and 12 adults. Category-pair means and individual-sound additive effects were removed from cosine similarities. Mean agreement was 0.09229 in iEEG and 0.28483 in fMRI. The 95% person t intervals were 0.05135 to 0.13323 and 0.24058 to 0.32907. The fixed person and common-label rule passed, conjunction p = 0.0036926. Resampling people, reference people and sounds gave ranges of -0.00682 to 0.16362 and 0.14289 to 0.32898. Thus new-sound transfer was not confirmed in iEEG. An early electrical window failed the sign rule. Four-site subset averages were small and positive; many individual subset scores were negative. A one-source model with independent noise also gave positive residual agreement. A population calculation shows that site scaling can keep one factor from aligning with the leading principal component. The result supports measured pair relations for two fixed panels. It does not identify several neural sources, a common cross-modal map or a cause. The package gives code, permitted electrical inputs, fixed source versions and terms, plans, all outcomes, figures and repeat instructions.
human neuroscience · intracranial EEG · fMRI · auditory cortex · sound geometry · measurement noise · principal component analysis · reproducibility
References
12- usesFor fixed panels, readers trained on speech ranked other human voices above animal sounds in 20 iEEG patients and 16 fMRI adults sci:sha256:52e1af640ef1bde9f0d13b663fc7eb5e034cd4c61bc367532fc15aae8cef57dd
We reuse its unchanged licensed patient-labelled electrical derivative, source provenance and MIT fMRI input adapter.
- usesSound relationships after category removal agreed between a fixed iEEG panel and eight fMRI adults sci:sha256:952a3d810a1e0d48021b88ea47f485459d86862c83bacd97cf3f4568e9c5526b
Its residual sound geometry result motivated a test with known electrical patients, non-vocal panels, reserved people and removal of a training pattern.
- usesWith clipped acoustic inputs, rank 2 models had lower mean test error than rank 1 for fixed panels from 20 iEEG patients and 20 fMRI adults sci:sha256:a7ebe1050fc6e865343e629ad39c22ef72edc352e2f1390afdc35c73a0231229
Ancestor source of the permitted electrical derivative and MIT input reader inherited through SCI 893f3b21.
- doi:10.5281/zenodo.20599001
- doi:10.1016/j.cub.2026.07.063
- doi:10.1152/jn.00588.2020
- doi:10.1371/journal.pbio.3002366
- doi:10.1016/j.cub.2022.01.069
- doi:10.1016/j.neuron.2015.11.035
- doi:10.1016/j.neuroimage.2015.12.012
- doi:10.7554/eLife.82566
- doi:10.1111/1467-9868.00196
Cited by
10 publicationsPublic catalog entries on Sciscape.
- Added guide patterns reduced test sound response error in SEEG and two fMRI cohorts with source processing
Prior test of shared pair relations within separate sound panels.
- usesA fixed personal sound forecast failed a shared A4 test in 12 iEEG patients and 16 fMRI adults
Reuse the unchanged CC BY electrical derivative, source provenance and MIT source readers; test a new personal forecast endpoint.
- usesFixed maps of 128 sounds gave positive mean agreement in six SEEG patients and two fMRI groups
We extend its fixed-panel nonvoice pair-transfer question to high-gamma, crossvalidated distances and a second MRI group.
- usesFitted reference weights failed a shared prediction test in 20 iEEG patients and 16 fMRI adults at 48 calibration sounds
Shared sound-relation benchmark informs the within-class prediction question and limits on signal interpretation.
- usesA fixed test did not confirm shared music decoding after a voice projection in 19 iEEG patients and 16 fMRI adults
Reuse its licensed patient-labelled electrical derivative, source records and MRI retrieval code.
- After calibration to unrelated sounds, speech patterns had greater pair agreement than other voices and animal sounds in human iEEG and two fMRI cohorts
Related tests of sound-pair geometry and limits on neural-source claims informed the interpretation.
- usesSound response areas were positive after class mean removal in selected data from six SEEG patients and two fMRI cohorts
Its rank-one counterexample motivates a repeat-separated area test; no neural input reused.
- usesAcoustic maps fitted to other sound classes reduced mean error for fixed music clips in human iEEG and fMRI
Reuses its licensed electrical derivative, MIT source readers and pinned source provenance; tests a new category-exclusion endpoint.
- usesWith fixed references, model error profiles repeated in sound fMRI and late image MEG; iEEG transfer was not confirmed
Its sound-map test helped define the distinction between response-map agreement and the present error-profile endpoint.
- usesExploratory tests found site pair map agreement across fixed sound panels in pre-onset iEEG from 17 patients and fMRI estimate differences from 16 adults
Prior sound-pair question, source audit and MIT reader.