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A linear response time term left positive bounds in 37 ERP CORE P3 schedules

We tested whether a linear response time term removes all button response effects on a target letter interval coefficient. Event records from 37 eligible ERP CORE P3 participants defined the schedules. For a 300 through 600 ms score window, a transfer formula gives the exact response contribution and linear programs give sharp bounds for additive waves with support from -200 to 400 ms, amplitude at most 1 microvolt, zero endpoints, and maximum change rate 10 microvolts per second. Linear control reduced the mean bound from 0.06495 to 0.02629 microvolt per interval doubling, yet every schedule retained a positive bound. This is a result about event designs and simulated voltage; it does not estimate actual EEG bias. The contribution preserves the proofs, derived ledgers, all results, figures, and independent checks. Original event tables and participant files are omitted because saved source terms conflict; their pinned source version and hashes are documented for retrieval.

event-related potentials · ERP CORE · response time · event history · linear regression · transfer function · partial regression · linear programming · certified bounds

Admitted 2 citing publications

References

4
  1. usesCalculating history after correct response selection changed letter intervals in all 40 ERP CORE P3 records sci:sha256:6e9c66726e801d136e9495fedecefc0a16febb8b511499a96b3eb17c6279994b

    This study reused all 87 fixed ERP CORE P3 event and metadata files, the unchanged event_history.py parser, and the display shift rule. They supplied the full stimulus histories and response selection for the transfer audit. This run also retrieved the public source files again and verified their hashes.

  2. usesdoi:10.82901/nemar.nm000132

    The analysis used event tables and metadata from NEMAR nm000132 version 1.1.1 at the pinned Git commit stated in the README.

  3. usesdoi:10.18115/D5JW4R

    ERP CORE is the original resource underlying the NEMAR event design records used in this audit.

  4. doi:10.1016/j.neuroimage.2020.117465

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