Active Control of μLED Arrays for Optogenetic Stimulation
Bibliographic record
Abstract
Optical neural stimulation using optogenetic technique plays an important role in neuroscience applications and neuroprosthetic solutions. Most optogenetic applications require power efficient photostimulation tools that can provide sufficient optic power for stimulation of photosensitized neural cells with desired spatial and temporal resolutions. In this paper, we propose an active control of custom-assembled μLED arrays for optogenetic photostimulation tools. The designed circuit provides required forward voltage (3.3V) and current (20mA) to the corresponding μLEDs without sacrificing optic power or temporal resolution. The active control system has been realized using AMS 0.35 μm CMOS process and the performance of the design has been verified through post-layout simulation. The proposed design can operate under different forward voltages and hence, can be adopted for driving several types of μLEDs.
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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 | 0.000 |
| 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 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".