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Record W2091665647 · doi:10.1109/iembs.2010.5626410

3D microprobes for deep brain stimulation and recording

2010· article· en· W2091665647 on OpenAlexaff
Arash A. Fomani, Maryam Moradi, Souhile Assaf, Raafat R. Mansour

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsMedtronic (Canada)Mediprobe Research (Canada)University of Waterloo
Fundersnot available
KeywordsMicroprobePlanarMaterials scienceStimulationElectrodeMicroelectrodeMicrometerLithographyFabricationOptoelectronicsBiomedical engineeringComputer scienceOpticsPhysicsNeuroscienceEngineeringComputer graphics (images)

Abstract

fetched live from OpenAlex

A new generation of three dimensional (3D) multi channel microprobes is reported for deep brain stimulation (DBS) applications offering both stimulation and recording capabilities. The devices are comprised of planar flexible microprobes assembled or folded over cylindrical polyurethane shafts with radiuses as low as 350 microm. As a direct benefit of this approach, the dimensions and density of the electrode sites are precisely defined by the sub-micrometer resolution of the lithography processes employed for fabrication of planar devices. This work presents a microprobe with 16 stimulating and 16 recording channels. The stimulation sites are 100 microm × 1.5 mm while the recording sites are 20 microm × 20 microm.

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)0.001
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 score0.105
Threshold uncertainty score0.222

Codex and Gemma teacher scores by category

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 communication0.0000.000
Open science0.0000.000
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 head0.025
GPT teacher head0.275
Teacher spread0.250 · 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

Citations9
Published2010
Admission routes1
Has abstractyes

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