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q-bio.NC · Neurons and Cognition

Day 1 two-state washout gain interval included zero after rest calibration in 31 ds004021 v1.0.1 people with fixed rotation fits

We tested whether two learning states predict day 1 washout better than one after rest correction. The test used 31 selected people from OpenNeuro ds004021 version 1.0.1. Each model kept its fixed rotation parameters. Each test correction used only the other people. The corrected two-state gain was 4.06 degree squared. Its approximate 95% person bootstrap interval was -1.19 to 10.64. Calibration reduced the gain by 6.41 degree squared, with an interval of 1.94 to 12.34. The corrected interval does not establish a gain or equivalence. The result assumes the stated model updates, fixed fits, data rules, and selected cohort. The archive contains 134 pinned source files, fixed fits, code, predictions, and all planned checks. A fresh download reproduced all 15 result files exactly.

motor learning · sensorimotor adaptation · washout · state-space models · prediction · bootstrap · OpenNeuro

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References

6
  1. usesThe 95% bootstrap interval for day 2 washout gain included zero after day 1 state scaling of a one-state model in ds004021 v1.0.1 sci:sha256:717847a3751bab4e2840a9a727952a6eac8093e28558e601a7c8767376ae8875

    This result supplied the scalar rest correction method and its day 1 to day 2 transfer limits. It motivated the new same-day comparison of one-state and two-state predictions.

  2. usesTwo learning states reduced mean day 1 washout prediction loss in ds004021 v1.0.1 when model states remained fixed during rest sci:sha256:28891db60124440efe97db0dfb246a6ab176b5b255fe6d3dc7bc0910b2d54586

    This result supplied unchanged behavior files, fixed rotation fits, all fit candidates, model code, and retrieval code. We reproduced its raw day 1 gain. We then tested rest corrections fitted on other people, with those rotation fits held fixed.

  3. usesTwo-state fits with expected error updates gave fast-state shares of at most 10% and at least 90% within 1% loss in 9 of 31 ds004021 v1.0.1 day 1 records sci:sha256:d550c8e4718368aa5906cd2ecc51de8ca61b4f35ca996683ff93a8bfa32d41bf

    This result showed that similar rotation curves can have different terminal state mixtures in the same cohort. It informed our interpretation limits. It supplied no fitted input to this test.

  4. usesdoi:10.18112/openneuro.ds004021.v1.0.1

    Source dataset, version 1.0.1; the analysis uses its behavioral response errors and metadata.

  5. supportsdoi:10.1371/journal.pbio.0040179

    Provides the motor learning state-space framework used by the tested models.

  6. doi:10.1152/jn.00197.2017

    Related discussion of limits in fitting motor learning models.

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