human Vim-DBS data of membrane potential
Bibliographic record
Abstract
The data protocols are from Milosevic et al. (2021) (L. Milosevic et al., “A theoretical framework for the site-specific and frequency-dependent neuronal effects of deep brain stimulation,” Brain Stimul, vol. 14, no. 4, pp. 807–821, 2021, doi: 10.1016/j.brs.2021.04.022.) The data were recorded from the thalamic ventral intermediate nucleus (Vim) in human patients receiving DBS for treating essential tremor. Microelectrodes were used to both deliver DBS and perform single-unit recordings. DBS was delivered using 100 µA and symmetric 0.3ms biphasic pulses (150µs cathodal followed by 150 µs anodal). In this work, we used the entire dataset of single-unit recordings of the neurons in the thalamic ventral intermediate nucleus (Vim) of essential tremor patients, during various DBS frequencies (5 to 200 Hz) in Vim. The single-unit recordings during {5, 10, 20, 30, 50, 100, and 200 Hz} Vim-DBS are of length {10, 5, 3, 2, 1, 5, and 2 s}, respectively; for each frequency of DBS, we did 5 to 8 recordings in different patients (total number of patients = 19). To obtain spikes from the single-unit recordings, we did offline analysis and spike template matching. For each single-unit recording, all the narrow stimulus artifacts were removed (0.5 ms from the onset of a DBS pulse). Then the recordings were high pass filtered (≥300 Hz) to better isolate the spikes, which were identified by the template matching using a principal component analysis method in Spike2 (Cambridge Electronic Design, UK).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.032 | 0.039 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".