A full-duplex wireless integrated transceiver for implant-to-air data communications
Bibliographic record
Abstract
This paper presents a novel fully integrated full-duplex data transceiver to support bidirectional high-data rate neural interfaces (electrical stimulation and neural recording). The transmitter (TX) and the receiver (RX) are designed to share a single implantable antenna. The TX generates IR-UWB based on edge combining, and the RX uses a novel ISM-2.4-GHz narrow-band OOK receiver. Separation between the TX and RX path is implemented by: 1) properly shaping the transmitted pulse, so its spectrum falls between 3.1 and 7 GHz UWB subband, and 2) carefully filtering the spectrum of the received waveform directly in the receiver low-noise amplifier (LNA), to avoid using a circulator or a diplexer (found in most full duplex systems). The receiver is designed to support downlink telemetry of neural stimulation applications with a data rate as high as 100 Mbps within a power budget of 5 mW. The transmitter is designed to support uplink back telemetry of neural recording applications with a data rate of up to 500 Mbps for power consumption of 5.4 mW and 10.8 mW for OOK and BPSK modulations, respectively (10.8 pJ/b). Measurement results obtained with biological tissues confirm full functionality of the fabricated full duplex transceiver. The total size of the chip is 0.8 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".