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Record W2128342616 · doi:10.1109/mmb.2002.1002328

Mechanical assembly of a microelectrode array for use in a wireless intracortical recording device

2003· article· en· W2128342616 on OpenAlexaff
Timothy Fofonoff, Colette Wiseman, Robert Dyer, J. Malasek, J. Burgert, Sylvain Martel, Ian Hunter, Nicholas G. Hatsopoulos, John Donoghue

Bibliographic record

Venue2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578) · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversité de MontréalPolytechnique Montréal
Fundersnot available
KeywordsMicroelectrodeMultielectrode arrayParyleneMaterials scienceElectrodeElectrode arrayPolyimideFabricationCable glandMicroelectromechanical systemsOptoelectronicsBiomedical engineeringNanotechnologyElectrical engineeringLayer (electronics)EngineeringComposite materialPolymerChemistry

Abstract

fetched live from OpenAlex

Fabrication of a microelectrode array assembly for neural activity recording is described. The assembly forms the mechanical front-end of the telemetric electrode array system, a wireless intracortical recording device designed for motor cortex studies in nonhuman primates. The electrodes are manufactured by wire electrical discharge machining solid titanium. They are then secured in a polyimide substrate. A flexible printed circuit board connector cable connects the array structure to the electrical frontend. Parylene and platinum are used as the encapsulation materials. Results from the implantation of a prototype microelectrode array assembly are discussed.

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)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.101
GPT teacher head0.341
Teacher spread0.240 · 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

Citations15
Published2003
Admission routes1
Has abstractyes

Explore more

Same venue2nd Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.02EX578)Same topicNeuroscience and Neural EngineeringFrench-language works237,207