A Low-Power Front-end Module Dedicated to Wireless Cortical Data Recording
Bibliographic record
Abstract
This paper reports on the design and the implementation of a fully implantable cortical signals acquisition system. The pre-processing stage, one of the main modules, has been designed in CMOS 0.18um process and sent for fabrication. It includes a low-noise multichannel front-end and a new prototype analog wavelet processor intended for on-line neural signal detection. Ultra low power consumption is achieved for both modules with usage of CMOS weakly inverted transistors. Special attention has been paid on recording quality in the front-end design by using Chopper modulation technique. The proposed front-end achieves an input referred noise of less than 30nV/√Hz and its power consumption is below 20µW per channel. Custom object oriented software has also been implemented for neural data visualisation, storage and analysis, and for system configuration.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".