Spike Compression through Selective Downsampling and Piecewise Curve Fitting Dedicated to Neural Recording Brain Implants
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Bibliographic record
Abstract
This paper proposes a method for data reduction in high-density neural recording brain-implantable microsystems. In the proposed method, neural spikes are segmented based on selective downsampling on the implant side of the system. On the external side, neural spikes are reconstructed by piecewise fitting of third-order polynomials. Using this idea, a 128-channel spike compressor was designed in a 130-nm CMOS technology with a chip area of 1050µmx350µm. Tested using a library of four prerecorded neural signals with different waveshapes, an average compression rate of ~272 was achieved. Operated at a clock rate of 1 MHz, the circuit consumes 21µW @V <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">DD</inf> =1V.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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 it