An ultra low-power chopper stabilized front-end for multichannel cortical signals recording
Bibliographic record
Abstract
The design of an ultra low-power CMOS chopper stabilized front-end suitable for a fully implantable cortical data acquisition system (CDAS) is presented The proposed low-power front-end improves recording quality and is area efficient. It removes low frequency noise and achieves submicrovolt input offset. The key to its performances is chopper modulation technique, usage of weakly inverted transistors and a supply voltage of 0.9 V. The chopper amplifier is composed of a low-noise preamplifier combined with a 2/sup nd/ order micropower bandpass Gm-C filter. The preamplifier achieves an input referred noise of less than 30 nV//spl radic/Hz. A whole channel dissipates less than 20 /spl mu/W and has been implemented in 0.18 /spl mu/m CMOS.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".