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Record W2744846462 · doi:10.1109/newcas.2017.8010138

A wireless photostimulator for optogenetics with live animals

2017· article· en· W2744846462 on OpenAlexaff
Gabriel Gagnon-Turcotte, Esmaeel Maghsoudloo, Younès Messaddeq, Yves De Koninck, Benoit Gosselin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsBattery (electricity)VoltageElectrical engineeringCapacitorPulse-width modulationDriver circuitPower (physics)DiodeCharge pumpComputer scienceLight-emitting diodePhysicsEngineering

Abstract

fetched live from OpenAlex

In this paper, we present a wireless photostimulator providing high output power from small 1.5-V Zinc-Air coin battery to stimulate light sensitized neurons. To overcome the limits of such a small energy source e.g. discharging current and voltage, the proposed photostimulator is based on a DC/DC converter and a switched capacitor circuit to provide high voltage (4 V) and high current (maximum 20 mA) to the stimulating μLEDs. These LED driving voltages and currents are modulated by a PWM signal, and designed to provide a stimulation pulsewidth of 5-ms at a period of 500 ms. A charge pump circuit is used to boost the battery voltage level up to 4 V from the aforementioned low-voltage coin battery. The output current of the proposed LED driver circuit is adjustable to provide different output light power levels output. The post layout simulation results in IBM CMRF8SF 130-nm process shows a variation of less than 1 % of the output LED driver current of the across all PVT corners. The efficiency of the proposed photostimulator, including the charge pump and the LED driver, is of 66 %.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.526

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.099
GPT teacher head0.374
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2017
Admission routes1
Has abstractyes

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