High-Speed Spiking and Bursting Oscillations in a Long-Delayed Broadband Optoelectronic Oscillator
Bibliographic record
Abstract
We investigate the generation of high-speed spiking and bursting signals in a long time-delayed broadband optoelectronic oscillator (OEO). The OEO is configured in a delayed feedback loop employing a long optical fiber delay line and other elements including a tunable laser, a phase modulator (PM) and a linearly chirped fiber Bragg grating (LCFBG), a photodetector, and an electrical amplifier. The joint operation of the PM and the LCFBG forms an ultrawideband microwave photonic filter (MFP). Taking advantage of the multiple time scales arising from the MPF and the long optical fiber delay line, we are able to generate subnanosecond neuron-like spiking and bursting signals that emulate the response found to be the primary mode of electrical firing in biological neurons. Since our OEO can operate at a much higher speed and can be controlled using both time-delayed feedback employing low-loss optical fiber and electrical/optical injection locking techniques, it has interest in emerging photonics applications such as neuromorphic information processing and reservoir computing tasks.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.000 | 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 source (direct Gemma or distilled Codex), 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".