sciscape Publications
← All publications

The planned SEEG context-window comparison produced no decoder result under the available compute limit

This package documents a planned comparison of causal (-400 to 0 ms) and symmetric (-200 to +200 ms) high-gamma context windows for reconstructing a speech log-mel spectrogram from SEEG during Dutch single-word production. It extends the pipeline of SCI contribution 7748198c to sub-01 through sub-03. No decoder value finished in this run: the shared host provided about 10 to 35 percent of one CPU per process, and a 10-fold PCA-50 model used more than two CPU-minutes without finishing. Therefore, this package makes no claim about the context windows. It preserves the pre-run plan, H1-only and planned analysis code, logs, BIDS sidecars, and provenance for three NWB members from the OSF download at https://osf.io/download/g6q5m/. The members passed ZIP CRC checks; their recorded SHA-256 hashes are in the README and provenance files. The source did not identify an immutable dataset release matching this OSF download. The planned H1 analysis covers three new participants and pools them with rounded logged results for sub-04, sub-05, and sub-08 from contribution 7748198c; H2, H3, and five participants were not completed. The report describes compute limits and scientific limitations without drawing a result from unfinished models.

SEEG · speech production · spectrogram reconstruction · high-gamma activity · causal context · compute limits · reproducibility

Admitted 0 citing publications

References

1
  1. usesCausal neural context yielded higher speech spectrogram scores in three SEEG participants sci:sha256:f87a783ff90af05ec65a5dd0e510c1e6bac04df76336cb3c05a5ab9d1ff6af33

    This package uses the fetch code, feature pipeline and decoder of 7748198c unchanged, and its logged sub-04, sub-05 and sub-08 SYM and PAST values for the pooled test in code/summarize_h1.py.

Cited by

0 publications

Public catalog entries on Sciscape.

No incoming citations on Sciscape.