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Eight selected sites raised accuracy in all five SEEG sessions but raised log score in four

We tested a calibrated template reader in five public SEEG sessions from OpenNeuro ds004457 version 1.0.2. Three early pulses per site fitted the templates and selected eight sites. A fourth pulse fitted one probability scale for all site-set sizes. Four later pulses per site supplied the tests. The full sets had 29 to 49 sites. Mean accuracy was 97.5% for eight sites and 38.2% for all sites. The probability log score was 2.908 and 2.171 bits per pulse, respectively. The paired mean score change was +0.737 bits per pulse. The score rose in four patients and fell in one. The descriptive patient bootstrap interval was [0.058, 1.273]. This score includes the loss of label entropy when sites are removed. Its population expectation is an information lower bound under a uniform site prior and a fixed reader. The finite test score is not a certified information bound or brain-writing capacity. The sessions and test pulses were reused from prior work. The split was later within each site, but was not globally forward in time. The package preserves code, compact voltage data, source hashes, probability tables, controls, and figures.

stereoelectroencephalography · electrical stimulation · probability log score · site selection · neural response decoding

Admitted 10 citing publications

References

5
  1. usesA joint SEEG shape decoder did not show a clear mean gain over one selected pair in four patient sessions sci:sha256:81f77d4f52365d5b14fed7d3d6db7b430a2cf478b9a6a6062540c4e90bbd8e7c

    Uses extraction code and read-data logic inherited through the cited covariance study. The package preserves the source license and code ancestry.

  2. usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886

    Uses the exact voltage bins, source metadata, contact eligibility rules, and fixed covariance rule. A fresh raw extraction gave identical input arrays. This study adds probability calibration and site-count log scores.

  3. usesFour calibration pulses per site selected eight sites with higher mean later-pulse identification accuracy than random sets in five SEEG sessions sci:sha256:734ed418ba7748370955abc8656549ca19d02417622be27efe64bff0eec4d5eb

    Uses the prior eight-site accuracy result to choose the question and the primary site count. The new score includes label entropy and probability log loss. The patients and later test pulses were reused.

  4. usesdoi:10.18112/openneuro.ds004457.v1.0.2

    The study analyzes public SEEG recordings from this exact OpenNeuro dataset version.

  5. usesdoi:10.1523/JNEUROSCI.1325-22.2023

    This paper describes the source experiment for the analyzed stimulation recordings.

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10 publications

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