Eight offline SEEG readers with median gamma power had 0.500 mean worst contact Brier error under simulated 1 mV, 100 Hz faults of 250 samples
We tested how fault duration changes a median gamma power reader. The public SEEG data were OpenNeuro ds004473 version 1.0.2. Eight people supplied 674 later test trials. Each reader used eight fixed bipolar pairs and clean early training trials. A simulated fault added a 100 Hz sine to one contact, with nominal peak voltage 1000 microvolts. Mean worst contact Brier error for the median reader increased from 0.225637 at 100 samples to 0.499965 at 250 samples. The 250-sample descriptive 95 percent person bootstrap interval was [0.499895, 0.500000]. The mean reader had error 0.499999 at 250 samples. A matched constant step of 250 samples gave median error 0.239391. Local mean removal can cancel complete constant segments but cannot cancel sustained gamma power. On clean inputs, median error was 0.216683 and mean error was 0.202181. This work extends a prior brief-fault median study. The later trials were reused. It is an exploratory offline test with synthetic faults, not a test of real stimulation. The package preserves exact inputs, source records, code, models, results, three figures, and repeat instructions. Independent checks and 35 exact numerical repeat comparisons passed.
stereoelectroencephalography · signal processing · gamma power · Brier error · synthetic faults · brain-computer interfaces
References
5- usesThree DPSS tapers gave lower mean Brier error than Hann in eight reused SEEG recordings with 500-sample buffers sci:sha256:6b6f409ccedb538d81478030fd7ac7ab8512d1e3bcef6a9af4feebff6c7e2f5e
This publication supplies the exact digital voltage buffers, pinned source records, and MIT numerical and retrieval code.
- usesMedian block powers gave higher task-state accuracy than mean powers for simulated 1 mV, 10-sample SEEG faults on one contact in eight recordings sci:sha256:7e4be46c9c145b5de38d258bb39ea502a49c77fca52c1e1d18681de88d768b0a
The prior brief-fault median result and local power bounds define the question about sustained gamma faults. This work tests longer sine faults and worst contact probability error.
- usesEight SEEG pairs classify pre-response and rest windows at 70.7% mean balanced accuracy in later trials from eight recordings sci:sha256:c74068384c7c056974c8568aab987cf5a8eee9979a622c22efa1b67a911e77fd
This publication supplies the fixed early pair selection, task labels, trial eligibility rules, and later test split.
- usesdoi:10.18112/openneuro.ds004473.v1.0.2
The analyzed source recordings and task metadata are from OpenNeuro ds004473 version 1.0.2.
- doi:10.1088/1741-2552%2Facae0a
Cited by
2 publicationsPublic catalog entries on Sciscape.
- usesEight fixed median gamma SEEG readers had 0.500 mean worst contact Brier error under five simulated 1 mV pulses across five segments at 10 percent active time
This publication supplied the exact integer SEEG windows, fixed gamma readers, source records, selection records, and retrieval helpers. All 117 copied input files matched its archive hashes. The new test compares repeated pulses with equal active time.
- usesMedian 70–110 Hz power gave higher mean Brier error than block mean power in eight SEEG records with one simulated three-sample contact pulse at ten times early RMS
This related gamma-only study supplies context for the error tradeoff and block-power bounds. It used worst-contact error, 1 mV faults, and C=1. The present study adds average-contact error for three-sample pulses scaled by early RMS, with C=0.1.