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Record W2146574561 · doi:10.1109/icsens.2010.5690280

Flexible neural microelectrode arrays reinforced with embedded metallic micro-needles

2010· article· en· W2146574561 on OpenAlexaff
Arash A. Fomani, Raafat R. Mansour

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMicroelectrodeInterconnectionMicroprobeMaterials scienceElectrodePolyimideSurface micromachiningFabricationMultielectrode arrayOptoelectronicsSIGNAL (programming language)NanotechnologyComputer scienceLayer (electronics)Telecommunications

Abstract

fetched live from OpenAlex

Neural microprobes with 16 stimulation/recording channels are fabricated employing surface micromachining techniques. Each device integrates a flexible polyimide-based interconnection cable, the array of bonding pads, and 4 parallel shanks hosting the electrode sites, all constructed in a single 3 mask fabrication process. In order to provide the shanks with enough mechanical strength for insertion into the tissue, a 15 μm thick gold micro-needle is embedded inside each shank as the reinforcement structure. A polyimide shell encapsulates the micro-needles from electrode sites and the interconnection lines. The shanks are 4 mm long, 100 μm wide at the base, and 24 μm thick. The electrode sites measuring 20 μm × 20 μm are addressed through gold interconnection lines to reduce the electrodes impedances and consequently improve the signal to noise ratio of the recording signal. This paper presents the details of microprobe fabrication and the preliminary characterization results.

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 score0.005
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.240
Teacher spread0.222 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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