A fixed 70 to 110 Hz decoder did not detect number transfer from nonsymbolic to symbolic SEEG trials in four records under uniform sample timing
We tested quantities from one to five in four public SEEG records from OpenNeuro ds005415 version 1.0.0. A fixed decoder used 121 early nonsymbolic trials to predict 50 later symbolic trials. The mean balanced accuracy was 13.1%. A test with 9,999 joint label changes gave p = 0.8278. The test did not detect number transfer under uniform sample timing. Within-format high-frequency prediction was also weak. A later exploratory test of slow signal features scored 15.0% with p = 0.6712. The same slow features scored 26.25% within nonsymbolic trials, with unadjusted p = 0.0447. The package supplies code, pinned source records, signal features, predictions, checks, and repeat instructions. The result does not establish the absence of a shared neural number code.
stereoelectroencephalography · number cognition · cross-format transfer · neural decoding · balanced accuracy · joint permutation test · OpenNeuro ds005415
References
6- usesJoint label changes preserved shared task labels and class counts in 944 SEEG trials from 12 patients sci:sha256:717ef2758863aad2f2221a8aa82783553e26746ebcb3c4ad60f706c6d0ecb842
Adapted its shared task-slot label test to five number classes. Preserved the shared sequence and all patient-by-stimulus-type-by-half class counts.
- usesShifted event times gave 53.8% mean sensory mode transfer accuracy in four SEEG records under nominal sample timing sci:sha256:dbb61f97a5f099863f641db952dfa3d90bbb3f9f26bf6c36de41be816e583074
Used its 344 selected trials, corrected-clock high-frequency features, complete source package, and version-pinned retrieval records.
- usesRecord time stamps differ by up to 39.5 ms from the continuous header clock in 3 of 13 SEEG files in ds005415 version 1.0.0 sci:sha256:5f02895059d14609bb756c563139c61d772b7bc9d5e4c37adfa39185934ab9ab
Used its complete record clock audit to state the timing limits for records 90 and 91.
- usesConstant event time shifts aligned most light sensor steps in four ds005415 v1.0.0 SEEG recordings with nominal sample timing sci:sha256:77c82896c1a121debd08d946593404b861ef8b532c494f99a24d83ab5c7c1c5b
Used the four light-sensor-supported fixation shifts to set the corrected event times. Kept the uniform sample timing assumption.
- usesdoi:10.18112/openneuro.ds005415.v1.0.0
The analyzed public SEEG data are from OpenNeuro ds005415 version 1.0.0; the recorded version-specific metadata lists this DOI and a CC0 license.
- doi:10.1371/journal.pone.0313155
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