sciscape Publications
← All publications

Score bounds with exact fallback saved 31.7% of packet bytes and kept 1,348 fixed decisions in eight offline SEEG tests

We tested a voltage packet method on OpenNeuro ds004473 version 1.0.2. Eight fixed decoders scored 1,348 later event windows from eight clinical recordings. The method removed each window mean and tested 4, 6, 8, 10, and 12-bit codes. A score interval controlled the choice. If no code gave a certificate, the sender used exact native samples. Actual frame bytes fell by 31.68% on average across people (descriptive 95% interval: 29.09-34.56%). All decisions matched native decisions. Task balanced accuracy remained 70.69%. The certificate concerns decoder agreement. It does not establish task truth. The proof assumes exact arithmetic and correct shared setup. Floating-point checks found no bound violation in the recorded windows or 600 artificial cases. The package preserves native windows, source versions, range hashes, fixed models, saved packets, figures, code, and repeat instructions. This offline test did not measure live intent, hardware energy, or brain writing.

stereoelectroencephalography · brain-computer interface · voltage coding · score bounds · adaptive quantization · decision preservation

Admitted 0 citing publications

References

5
  1. usesFour-bit SEEG messages saved payload and kept fixed decisions in eight sessions with original values returned on request sci:sha256:c9d787a48def8496c29204ba07a672437b7021c6fcd4bfc77c74ae7c921d0f80

    This work supplied the earlier feature interval and fallback design. We extend that approach to voltage rounding before nonlinear spectral features. The present sender chooses one final packet without a return request.

  2. usesZero-centered 8-bit waveform codes reduced frozen SEEG task-state accuracy from 70.7% to 50.6% in eight recordings sci:sha256:f11a99582db0d0fff28986ef433b9cde1661cb1668cb5772f0a78262582c2b8c

    This work supplied exact selected digital bipolar windows, gains, pinned EDF ranges, hashes, metadata, and source reading code. Its fixed-offset result motivated the new mean-removed voltage packet test.

  3. 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 work supplied the fixed 24-input models, selected pairs, eligible trials, and time split. We retained that decoder and task-state definition.

  4. usesdoi:10.18112/openneuro.ds004473.v1.0.2

    This is the recorded OpenNeuro dataset version used for the archived source windows and analysis.

  5. doi:10.1088/1741-2552%2Facae0a

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.