CMOS DAC-sharing stimulator for neural recording and stimulation arrays
Bibliographic record
Abstract
A compact biphasic neural stimulator for use in multi-channel integrated neural recording and stimulation interfaces is presented. The stimulator is a part of an envisioned closed-loop implantable microsystem for adaptive neural stimulation. The stimulator reuses the capacitive DAC inside the recording SAR ADC to provide 8-bit current amplitude resolution and reconfigures the digital SAR controller logic to provide 4-bit tunability of the duty cycle of the current pulse. A voltage-to-current converter and a current driver are the only additional circuits required. An OTA is reused to provide accurate current matching and to remove excess charge on the electrode. The stimulator is implemented in a standard 0.13μm CMOS technology. Post-layout and Monte Carlo simulation results show 8-bit functionality from 5μA to 1.2mA, a 2.5V swing and 1 percent current matching between positive and negative pulses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".