In 15 adults, visual groups supplied most cross-photo distance covariance in released late MEG and IT fMRI after image-effect control
We tested whether fine visual distance patterns repeat across people and photos. Public targets came from three human MEG and fMRI studies. Only one of four fixed residual tests passed. The shared fine-pattern rule failed. An exploratory audit then split cross-photo distance covariance in one 15-adult study. With groups fitted first, their shares were 98.02-99.01% in late MEG and 90.93-110.60% in IT fMRI. Fitting simple features first reduced group shares to 68.98-69.73% and 78.21-95.25%, respectively. Both estimates concern released target maps. Exact bounds span all 15! possible person links. They describe the recorded cohort, not population confidence limits. Control order matters, but both orders retained a majority share. A share can exceed 100% when the remaining covariance is negative. Known projection and assignment methods support a new audit tool and benchmark. The result does not show pure semantic coding or a shared neural cause. No untouched cohort confirmed the added audit. The package preserves code, plans, provenance, results, failed tests, figures, and repeat steps. Restricted source arrays and images remain external.
MEG · fMRI · representational similarity · visual groups · photo transfer · linear assignment · participant linkage · reproducible research
References
9- usesImage offsets explained 72–89% of early MEG–fMRI covariance in four image sets, but did not pass fixed fMRI tests sci:sha256:3a94f11b6b838159ba3d000970b36a269fd7c82211486399a060c21a15a890d1
Motivates image-effect control and supplies a source-hash cross-check. No source code was copied.
- usesdoi:10.1038/nn.3635
Supplies study A and its acquisition context.
- usesdoi:10.1093/cercor/bhw135
Supplies study B and describes both earlier experiments.
- usesdoi:10.3390/vision3010008
Supplies the twin-photo study and cohort context.
- usesdoi:10.48550/arXiv.1905.05675
Describes the public challenge target release.
- doi:10.1016/j.neuroimage.2018.05.037
- doi:10.1016/j.neuroimage.2019.03.031
- usesdoi:10.1214/14-AOS1255
Provides established distance-centering context; no new centering theorem is claimed.
- usesdoi:10.7554/eLife.82566
Supports the distinction between person and condition uncertainty.
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