A fixed test did not confirm image isolation across photographs in MEG and fMRI from 15 adults
We tested whether within-class image isolation repeats across different photographs. Public MEG and fMRI targets came from one cohort of 15 adults and two photographs for each of 78 matched descriptions. Isolation is the mean distance of an image from the other images in its class. We averaged correlations across five classes. A local plan and code lock preceded new scores. Missing person identifiers led us to allow every bijection between photo-set rows, separately within each modality. Assignment optimization gave exact mean and positive-count bounds over 15! links. Late MEG possible means ranged from -0.05974 to 0.22907; IT fMRI means ranged from -0.17822 to 0.16997. Only two positive MEG scores and zero positive fMRI scores were guaranteed. The fixed shared sign rule failed, p=1.0. A MEG image-label reference was favorable, but its wider person and description range crossed zero. fMRI checks remained uncertain. An exact model gave perfect isolation transfer from repeatable error sizes despite identical true image responses. Independent scalar scores, a separate dynamic program and a clean source-based replay checked the results. The contribution is a negative benchmark and a tool for conservative median inference with missing links. It does not confirm cross-modal neural generalization or absent invariance. One cohort, source choices, uncertain image order, measurement filters and noise limit scope. Code, source hashes and terms, all outcomes, figures, proofs and repeat steps are supplied. Original neural arrays remain external.
human vision · MEG · fMRI · image isolation · missing person links · assignment · negative results · representational geometry
References
8- usesImage offsets explained 72–89% of early MEG–fMRI covariance in four image sets, but did not pass fixed fMRI tests sci:sha256:3a94f11b6b838159ba3d000970b36a269fd7c82211486399a060c21a15a890d1
We use its source distinction and source records. The new endpoint tests additive image effects rather than residual pair relations.
- usesFive classes supplied 98% of observed cross-photo covariance in late MEG and IT fMRI; detailed transfer was not confirmed in one cohort sci:sha256:64cd1693ab43d8bdfa27013a3ebd780950951e536cbabddc31686745f9c43eeb
We use its source image-class boundaries and build on its failed detailed photo-transfer test.
- usesUnder source image order, fixed tests did not confirm photo transfer within classes in MEG and fMRI from 15 adults sci:sha256:ee19e2805ba9ba51b7a7d31adaeb0e4be434d57e721db072ce71e65e1a19feb0
Its missing-person-link audit motivates the new all-bijection count test. We wrote new code.
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Original human Twin MEG and fMRI cohort, design and source preprocessing.
- usesdoi:10.48550/arXiv.1905.05675
The public Algonauts 2019 target release supplies the analyzed matrices.
- usesdoi:10.1002/nav.3800020109
Established assignment optimization underlies the bounds. We do not claim a new assignment algorithm.
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Established distance centering relates image isolation to additive image effects.
- doi:10.7554/eLife.82566
Dependence and generalization limits for neural distance maps. Our description/person refits are sensitivity summaries, not its corrected two-factor inference.
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