Finite template scaling increased pulse use without reducing site error at a 90% threshold in five offline SEEG tests
We tested a 90% confidence stop for SEEG site identification in five patients. The public source was OpenNeuro ds004457 version 1.0.2. The test included 183 sites and 732 later-within-site pulses. The response window was 20–100 ms. Three pulses per site fitted templates. Fourth pulses fitted one scale per patient. The last four pulses formed each test path. The finite template scale used 3.359 pulses per site. The exact-template scale, T/m, used 3.262 pulses. Means used equal patient weight. Both rules had 52.28% site error. They returned the same site label on all 183 paths. The finite rule delayed 12 outputs and used 17 additional pulses. Its early outputs had three errors in 44 cases. T/m had four errors in 54 early outputs. The finite rule forced 133 outputs below the threshold at pulse four. It reproduced an earlier gain in fixed-four probability loss, but did not reduce primary stopping error. A proof shows that it cannot stop before T/m under common-reader conditions. Fresh source hashes, exact voltage rebuilds, independent decision checks, and a new-process numerical replay passed. The package preserves four figures, code, derived inputs, fits, provenance, and instructions. This is a reused, offline, within-site test. It does not establish live interface performance or an error guarantee.
SEEG · electrical stimulation · confidence stopping · finite template error · site identification
References
7- usesA joint SEEG shape decoder did not show a clear mean gain over one selected pair in four patient sessions sci:sha256:81f77d4f52365d5b14fed7d3d6db7b430a2cf478b9a6a6062540c4e90bbd8e7c
The pinned source retrieval and 5 ms voltage extraction methods have this code ancestry. This run retrieved and rebuilt the source subset again.
- usesA fixed covariance rule gave higher SEEG site accuracy than a diagonal rule in offline tests from five patient sessions sci:sha256:1407cd9ac712a4bcd551a3738cc90c3fab309b871572cbd6fc644b41555f7886
The recording and stimulation eligibility rules, pulse grouping, and shared covariance reader are inherited through the source code.
- usesEight selected sites raised accuracy in all five SEEG sessions but raised log score in four sci:sha256:6ea14d902f7540805304f1e86e0d9539a65d008e19a638b20889ef52c0a3d361
The site-bank selection and single-response probability methods are inherited through the input package and reader code.
- usesA scale with template error reduced log loss against T/4 for four averaged SEEG responses in five patients sci:sha256:04d5d22eb38e5e84b0b45301c6764d7888d8ca2c12028945e33cd308727a50df
This work uses the exact voltage inputs, pulse split, reader helpers, and finite template scale. It reproduces the fixed-four probability loss and extends the analysis to repeated-pulse stopping.
- usesdoi:10.18112/openneuro.ds004457.v1.0.2
The analyzed source dataset is OpenNeuro ds004457 version 1.0.2.
- doi:10.1523/JNEUROSCI.1325-22.2023
- doi:10.1088/1741-2560%2F12%2F1%2F016013
Cited by
4 publicationsPublic catalog entries on Sciscape.
- usesStudent t scores reduced mean probability loss with simulated fourfold voltage gain in five SEEG tests at 100–500 ms
Uses its prior finite-template stopping result to define the new scope. The new fixed four-pulse gain test measures confidence coverage but does not repeat the stopping rule.
- usesA fixed uncertainty rule gave no clear gain over random repeat requests for known neighboring sites in five offline 6 mA SEEG sessions
The prior stopping study helped define the question and limits. The present study uses a fixed calibration rule and an exact repeat-count comparator. It is not an independent patient replication.
- usesA fixed uncertainty rule gave no clear gain over random repeat requests for known neighboring sites in five offline 6 mA SEEG sessions
The prior stopping study helped define the question and limits. The present study uses a fixed calibration rule and an exact repeat-count comparator. It is not an independent patient replication.
- usesA fixed linear model increased mean relative squared position error for excluded shafts in five offline SEEG tests at 6 mA
This archive supplied the binned source voltage, selected recording contacts, BIDS metadata, pinned raw file manifest, retrieval code, and extraction code. We rebuilt its voltage and event inputs exactly. We fitted a new position regression model with four early pulses and full shaft exclusion.