Background subtraction gave uncertain site log loss gains with three template pulses in five SEEG sessions
We tested whether subtracting a forecast of ongoing voltage improves site probabilities from public SEEG data. The source was OpenNeuro ds004457 version 1.0.2. The test used 94 later sites and 376 pulses from five people. Each site supplied three template pulses, a separate probability calibration pulse, and four test pulses. The background model used earlier sites and voltage before each pulse. Mean test log loss fell from 2.721 to 2.704 bits per pulse. The paired gain was 0.017 bits per pulse. Its descriptive 95 percent patient interval was minus 0.003 to plus 0.048. Mean accuracy fell from 35.71 to 35.43 percent. A matched, post hoc known-site waveform check had 3.14 percent lower error. Thus, lower waveform error did not establish a clear site readout gain in this test. The reused sample and retrospective site library limit the result. The package preserves compact voltage data, full reader probabilities, source hashes, fitted models, code, three figures, and reproduction instructions. A fresh raw extraction matched the compact data. A new process reproduced all 62 main result files.
stereoelectroencephalography · SEEG · brain-computer interface · voltage correction · probability calibration · site classification
References
5- usesBackground subtraction reduced mean SEEG site accuracy at 20 to 100 ms with four fit pulses per site in five offline sessions sci:sha256:b0a32106b9b828142fd63fd2595f6e5e2d08977bfeb5ebb16788a63dd1b22f92
Used its related four-template-pulse accuracy result for comparison and scope. It was read after the new main scores and did not set the locked probability test. The present study adds three-template probability loss and separate temperature fitting on the same reused sessions.
- usesSite variation scales give mixed probability gains in five SEEG sessions with three template pulses and separate calibration sci:sha256:9530b925e2518beda1a3d13836e0e0c291ce590172710507edec3a7ac68b9a37
Used its three-template-pulse reader design, pooled covariance shrinkage, fourth-pulse temperature fitting, and bounded probability rule. The implementation here tests raw versus background-corrected voltage at later sites.
- usesBackground voltage prediction reduced mean centered SEEG error at 20–100 ms by 3.89 percent compared with four-pulse templates at 94 later sites in five sessions sci:sha256:eafc98e2d7e10954c617a9c872856a509fd1f40b5c5dbb9641372fbd1915461d
Used its compact public voltage data, fixed readout pairs, chronological site split, source hashes, retrieval and extraction code, and background map design. The fitted maps match its values. The new test measures separately calibrated site probabilities with three template pulses.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
Source dataset used for the five-session SEEG analysis; the archived source and exact version are identified in the publication.
- doi:10.1523/JNEUROSCI.1325-22.2023
Cited by
0 publicationsPublic catalog entries on Sciscape.
No incoming citations on Sciscape.