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A fixed ECoG curve had higher mean test error than a line in log gap after calibration at two gaps in five ECoG patients and six fMRI adults

We tested whether a visual recovery curve from three ECoG patients predicts four missing gap responses after two local endpoint measurements. A local plan fixed the comparison with a line in log gap. Reserved tests used 39 contacts in five other ECoG patients and six regions in six adults from a separate fMRI study. Gain was log-line loss minus curve loss, in squared single-response units. Mean gain was -0.03492 in ECoG, with a 95% person t interval of -0.08590 to +0.01605. The fMRI release had eight records and two unknown repeated-person links. Across all 72 links, mean gain was -0.07030 to -0.03530. Its interval union was -0.16603 to +0.04326. The fixed shared rule failed, with p = 1. An added exact audit showed that every positive fraction of this curve's deviation from the log line also raised observed mean error in both datasets. This is a finite-sample result along one direction, not a test of all recovery shapes. A fixed baseline check with a rebuilt curve changed the ECoG mean sign and remained uncertain. A noise model showed why even a positive calibration gain need not identify a shared latent shape. Small training and test samples, clinical coverage, source selection, baseline choice, fMRI estimation variation and different measurement scales limit scope. These are new endpoint tests in reused studies. They do not establish a shared neural cause. The package gives compact inputs, all predictions and failures, code, source versions and terms, local plans, figures and repeat steps. Fresh original-source reconstruction matched all eight patients. A replay matched 112 numerical files.

human visual cortex · ECoG · fMRI · temporal adaptation · prediction · calibration · negative result · cross-modal validation

Admitted 3 citing publications

References

10
  1. usesArea profiles from three ECoG patients did not improve a fixed forecast in five ECoG patients and six fMRI adults sci:sha256:776a01534632eefed41292a4a875415bc6e1284a07203102214dd1e4e00545a3

    We reuse its verified compact inputs, matched areas, source readers, source reconstruction code and provenance. We test a different calibration and prediction rule.

  2. usesFixed recovery tests did not show a shared model violation in eight ECoG patients and six fMRI adults sci:sha256:a897f45ddd7b7f39f0ff91676d8367575836148c09a055ef11f9bd6f4a39f49e

    Its corrected trial benchmark and extraction methods are inherited through the verified area-profile publication.

  3. usesA temporal interaction test did not show a shared violation in eight ECoG patients and six fMRI adults sci:sha256:7c356923470735652f38a6554d2f9153b5c41a85fc1dd2902d5bb9a18733b551

    Its verified benchmark lineage and measured-blank handling inform the inherited inputs. The new endpoint does not reuse its interaction contrast.

  4. Single-image fits of a simple temporal model did not confirm a shared repetition prediction gain in 8 ECoG patients and 6 fMRI adults sci:sha256:b15151390f0a4a1de598679f3596a0fed817c6827c52d261e29e060f598ecb9b

    Its failed single-image forecast motivates a test after direct local endpoint calibration.

  5. usesLocal mean response scaling changed temporal effect signs in two human visual cortex datasets sci:sha256:7c77855b2b64ebf6c31bf1eaa56d9d05e59214add2ca7adb929b0086943c901a

    The fixed contact reference and MIT MATLAB readers are inherited through the verified source package. We retain attribution and notices.

  6. usesdoi:10.18112/openneuro.ds004194.v3.0.0

    Version-specific source of processed human ECoG epochs, events and channel metadata. All eight used source files were fetched and checked anew.

  7. usesdoi:10.1523/JNEUROSCI.1812-21.2022

    Source electrical study and its processing and visual-contact selection.

  8. usesdoi:10.1523/JNEUROSCI.1724-17.2017

    Source fMRI study. We use its unchanged OSF v843t file wn2q9, version 1, with measured blank handling and all possible repeated-person links.

  9. doi:10.1371/journal.pcbi.1012161

    Prior visual adaptation work and its log-gap recovery summary support the fixed simple comparison.

  10. doi:10.1371/journal.pcbi.1007484

    Prior delayed gain-control work places the response-shape prediction question in context. We do not fit that model.

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