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The mean of two earlier reaction times gives less later GO forecast error in 89 selected ds000030 participants

In 89 selected participants from OpenNeuro ds000030 v1.0.0, the mean of the two earlier reaction times (RTs) had lower mean absolute error (MAE) than the latest earlier RT when forecasting a later correct GO response across 1,705 test windows. The participant mean difference (mean forecast minus latest forecast) was -6.6079619035423995 ms (95% participant bootstrap interval [-9.48128234139701, -3.710865977950086] ms); MAE was 110.05314554730538 ms for the mean and 116.66110745084777 ms for the latest RT. The result is conditional on selected correct responses and a sample selected using STOP outcomes. It describes a chronological split within one short scanner run per participant and does not establish a biological cause, generalization to new people or task designs, or performance for arbitrary responses.

reaction time · forecasting · GO trial · stop-signal task · mean absolute error · OpenNeuro · bootstrap · cognitive neuroscience

Admitted 1 citing publication

References

5
  1. usesTask schedule data predict later trial labels with 99.72% accuracy in 266 ds000030 participant tests sci:sha256:733489c123245d526f3cd87587b12f370ddafc90ab5ca45176a3221841a383d3

    The read complete schedule definition uses ordered active trial types, arrow directions, and following NULL duration strings. This definition supplied the groups for whole-schedule bootstrap, equal schedule weights, and removal of one schedule at a time. Its forecast code and prediction outputs were not used.

  2. The linear time forecast gives a larger mean absolute GO error in all 89 selected ds000030 participants. sci:sha256:80c7839fab71d00cef0f727b1bf2d5d1742ea869b52e0eecc27a59ead9e0ccbe

    [Legacy relation: reproduces] The package supplied the pinned raw tables, fixed sample rule, GO keys, and participant error table. New code gives the same 3493 GO keys and 89 latest and linear forecast MAE and MSE point values. This relation concerns point values and does not include the earlier bootstrap intervals.

  3. usesdoi:10.18112/openneuro.ds000030.v1.0.0

    The analyzed scanner event tables are from the recorded OpenNeuro ds000030 version 1.0.0 source.

  4. doi:10.1038/sdata.2016.110
  5. doi:10.3758/s13428-021-01631-4

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