MétaCan
Menu
Back to cohort
Record W1961708287 · doi:10.1109/iscas.2003.1206181

A cortical stimulator with monitoring capabilities using a novel 1 Mbps ASK data link

2003· article· en· W1961708287 on OpenAlexaff
Jonathan Coulombe, J.-F. Gervais, Mohamad Sawan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsAsk priceInterface (matter)Computer scienceDecoding methodsChannel (broadcasting)WirelessPower (physics)Computer hardwareElectronic engineeringVoltageElectrical engineeringEmbedded systemComputer networkEngineeringTelecommunications

Abstract

fetched live from OpenAlex

We present a wireless cortical stimulator comprising a plurality of multi-channel micro-stimulators allowing flexible placement of electrodes. These devices perform stimulation, and allow measurement of voltage or stimulating current at any electrode. Power and bi-directional data are managed by an Interface Module. Decoding of the ASK modulated carrier uses a low-power digital technique. A data rate higher than I Mbps is obtained. With its configurable protocol, a 1000 electrodes system is feasible with the proposed approach. Experimental results from a reduced size prototype combining integrated Stimulating Modules and a discrete components Interface Module are shown.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.180
GPT teacher head0.326
Teacher spread0.147 · 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 source (direct Gemma or distilled Codex), 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

Citations19
Published2003
Admission routes1
Has abstractyes

Explore more

Same topicNeuroscience and Neural EngineeringFrench-language works237,207