One bit per site gave sound match scores above chance in selected panels from six SEEG patients and 24 fMRI adults
We tested whether one bit per sampled site keeps within-group sound match accuracy in separate human neural studies. Public data supplied three SEEG high-gamma repeats per sound and three BOLD fMRI estimates per sound. The reader knew the broad sound group and made a two-choice template judgment. Calibration used other sounds. Each score averaged 32 fixed draws of 16 sites. Development used two patients and four MRI adults. A local code lock preceded tests in six other patients, 16 B2021 adults and eight NH2015 adults. Mean binary accuracies were 0.66983, 0.64829 and 0.63361. Their pointwise 95 percent person t intervals were [0.64743,0.69223], [0.63256,0.66402] and [0.61140,0.65582]. All 30 people were above chance. The fixed shared mean and majority rule passed after two-claim Holm correction, p=0.03125. The full-value reader did better in every person. The fixed 80 percent retention claim failed, p=1. Ratios of cohort mean advantages were about 76 to 77 percent. These are reader scores, not fractions of neural information. Eight-site and group-omission checks kept positive mean binary advantages. Some crossed sound resamples were undefined and remain so. An exact model with one scalar and mixed site loadings gave 0.77285 for both readers. Thus high match accuracy does not require a separate code for each sound or more than one latent signal dimension. Artificial same-data site selection gave mean binary accuracy 0.53659 with no stable sound signal. This is not a fitted estimate of source bias. The package gives code, source pins and terms, all outcomes, local plans, figures and repeat instructions. Original neural arrays stay external. Site selection, clinical sampling, child and adult cohorts, different source filters, known broad groups and fixed sounds limit scope. This is a new endpoint in reused studies, not a new acquisition. It does not establish a binary neural code, a common neural cause or causality.
human neuroscience · SEEG · fMRI · natural sounds · binary codes · quantization · repeat responses · sound matching
References
9- usesFor 165 fixed sounds, four-component models reduced repeat error in six SEEG patients and 24 fMRI adults sci:sha256:1ffb0217c831625cbe8fc949585c14c1f283f7e9f1b2113e69122af88fa9a59b
We reuse its source pins and MIT preparation code for the three-repeat human sound-response benchmark. Our endpoint tests sign-code sound matching rather than low-rank prediction.
- usesSpeech and song axes gave positive mean repeat scores for nine voice clips in SEEG and two fMRI cohorts sci:sha256:6720e49a50bda02902607508181e2616c7f5e48b21bceee56a2d3fcdc618bdae
The preparation code reused through SCI 0fbbba46 credits this source for retrieval and input preparation. We preserve that credit.
- usesdoi:10.1371/journal.pbio.3001675
Original human SEEG study and source processing.
- usesdoi:10.5281/zenodo.6544488
SEEG source release v1.1; exact Git files are pinned by hashes.
- usesdoi:10.1016/j.neuron.2015.11.035
Original NH2015 human fMRI study.
- usesdoi:10.1152/jn.00588.2020
Original B2021 human fMRI study.
- usesdoi:10.1371/journal.pbio.3002366
Author archive for processed fMRI responses and source methods.
- usesdoi:10.5281/zenodo.8349726
Version 1.0 code and data release associated with the fMRI archive; the external neural tar has an additional exact byte hash.
- doi:10.48550/arXiv.2411.02783
Related work on limits from small neural readouts in reconstruction methods.
Cited by
5 publicationsPublic catalog entries on Sciscape.
- A diversity rule for eight sites failed a shared sound matching gain test in six SEEG patients and 24 fMRI adults
Related quantization benchmark in reused cohorts, found after primary scoring. No code or data reused.
- usesFixed covariance tests did not confirm vocal matching gains across six SEEG patients and two fMRI studies
Upstream source preparation credit.
- usesAfter site calibration, sound matching without site labels failed a fixed shared test in six SEEG patients and 24 fMRI adults
Related one-bit reader retains site identity; the new reader removes target site order and global sign.
- usesOne bit per auditory site gave mean four-class accuracy above chance in 20 iEEG patients and 16 fMRI adults
Its one-bit within-group sound matching result motivates a test without a known test class or test-sound template.
- usesCalibrated extra axes reduced mean repeat error in 16-site panels from six SEEG patients and 24 fMRI adults
Reuses MIT preparation, fetching and source-audit code, with source data pins.