An Inductively-Powered Wireless Neural Recording System With a Charge Sampling Analog Front-End
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Bibliographic record
Abstract
An inductively-powered wireless integrated neural recording system (WINeR-7) is presented for wireless and battery-less neural recording from freely-behaving animal subjects inside a wirelessly powered standard homecage. The WINeR-7 system employs a novel wide-swing dual slope charge sampling (DSCS) analog front-end (AFE) architecture, which performs amplification, filtering, sampling, and analog-to-time conversion with minimal interference and small amount of power. The output of the DSCS-AFE produces a pseudodigital pulsewidth modulated (PWM) signal. A circular shift register timedivision multiplexes (TDM) the PWM pulses to create a TDMPWM signal, which is fed into an on-chip 915-MHz transmitter (Tx). The AFE and Tx are supplied at 1.8 and 4.2 V, respectively, by a power management block, which includes a high efficiency active rectifier and automatic resonance tuning, operating at 13.56 MHz. The eight-channel system-on-a-chip was fabricated in a 0.35-μm CMOS process, occupying 5×2.5 mm2 and consumed 51.4 mW. For each channel, the sampling rate is 21.48 kHz and the power consumption is 19.3 μW. In vivo experiments were conducted on freely-behaving rats in an energized homecage by continuously delivering 51.4 mW to the WINeR-7 system in a closed-loop fashion and recording local field potentials.
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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 | 0.000 | 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 | 0.001 |
| Open science | 0.001 | 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