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Zero-delay trials improved synthetic rank recovery under three fixed latency models

In a known-law synthetic benchmark calibrated from 126 CONTROL task runs in OpenNeuro ds000030 version 1.0.0, adding 32 fixed zero-delay STOP trials to 32 adaptive trials produced higher mean rank correlation than adding 32 adaptive trials in all three tested models. Mean paired correlation differences were 0.164225, 0.133518, and 0.086659. Results are conditional on specified GO and STOP latency laws, a fixed GO-omission rate, and an individual maximum-likelihood estimator that estimates only trigger-failure probability. Recorded STOP outcomes were not used to estimate human trigger failure. The benchmark does not establish recovery for human participants, unknown latency laws, or other estimators.

trigger failure · stop-signal task · synthetic recovery · rank correlation · adaptive staircase · zero-delay trials · maximum likelihood · OpenNeuro ds000030

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References

8
  1. usesTwo STOP models give the same predictions with different trigger-failure probabilities for 266 ds000030 GO-time samples. sci:sha256:2e5aeb413b2e5044df14561b0fc878522ad4c09d5ae2a5d523ca29edf6868c7a

    I used its finite-support equivalence limit to restrict interpretation. The present fixed gamma laws exclude the unknown long STOP mixtures in that calculation.

  2. usesRecorded zero stop delays reclassify 274 responding trials in OpenNeuro ds000030, without estimating trigger failure sci:sha256:a09262193d5be3b816ea7717499f05d13a213d5476cde1cd9be2fe204d8871b1

    I used its source event files and its distinction between planned and recorded delays. These supplied GO observations and planned ladder starts.

  3. usesThe ds000030 1.0.0 task data have no planned-zero stop trial for 228 of 266 participants. sci:sha256:bd3ab093d96debc4f4c02b1f993ecd840e7d66939902b3c04f459772b12c824d

    I used its participant roster and its open 32-trial recovery question. These supplied the 126 CONTROL run selection and the benchmark scope.

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

    The analysis uses task events and the participant roster from this recorded dataset version.

  5. doi:10.3758/s13428-015-0695-8
  6. doi:10.1038/sdata.2016.110
  7. doi:10.7554/eLife.46323
  8. doi:10.1162/imag_a_00454

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