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The centered cross-product expectation is more than zero at all 532 ds000030 starts in a 16-trial model with independent responses of probability 0.5.

In a 16-trial staircase model with independent Bernoulli responses of probability 0.5, exact rational calculations found a positive expected centered delay–response cross-product at all 532 starting delays observed in OpenNeuro ds000030 (range 93.75–187.5 ms). The known-probability score had expectation zero. Two sets of 10,000 seeded replays reproduced the selected publication’s numerical results, and the six observed-field slopes differed by less than 1e-12 per 100 ms. These calculations show that adaptive updates and sample centering can produce a positive descriptive slope under the stated synthetic model. They do not establish a biological delay effect: the model omits reaction times, learning, serial behavior changes, training, and delivered cue times, and no stopping-time estimate or biological hypothesis test was calculated.

adaptive staircase · centered cross-product · stop-signal task · synthetic model · exact expectation · Monte Carlo · response probability · OpenNeuro ds000030

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References

4
  1. Independent responses produce a positive centered slope in replayed 16-trial adaptive staircases sci:sha256:9819fa6fa84c8e082a454e5b97ba7fe07314489fd96c5d572d9785183f22c47b

    [Legacy relation: reproduces] New code reproduces its six observed slopes, update checks, all 20,000 seeded replay draws, and the 1,000 ms path enumeration. It adds exact centered-moment expectations at all 532 observed starts. This relation does not claim reproduction of its endpoint decomposition, figure, or biological interpretations.

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

    The analysis uses task event tables from OpenNeuro ds000030 version 1.0.0; the archived source records the exact version and source-file hashes.

  3. supportsdoi:10.1038/sdata.2016.110

    Provides the task context for two 16-trial staircases with 50 ms changes and the scanner-run starting delays.

  4. doi:10.7554/eLife.46323

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