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Record W2144876435 · doi:10.1109/iscas.2011.5937912

CMOS DAC-sharing stimulator for neural recording and stimulation arrays

2011· article· en· W2144876435 on OpenAlexaff
Karim Abdelhalim, Roman Genov

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neural Engineering
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCMOSDuty cycleElectronic engineeringComputer science12-bitVoltageMicrosystemBrain implantElectrical engineeringMaterials scienceEngineering

Abstract

fetched live from OpenAlex

A compact biphasic neural stimulator for use in multi-channel integrated neural recording and stimulation interfaces is presented. The stimulator is a part of an envisioned closed-loop implantable microsystem for adaptive neural stimulation. The stimulator reuses the capacitive DAC inside the recording SAR ADC to provide 8-bit current amplitude resolution and reconfigures the digital SAR controller logic to provide 4-bit tunability of the duty cycle of the current pulse. A voltage-to-current converter and a current driver are the only additional circuits required. An OTA is reused to provide accurate current matching and to remove excess charge on the electrode. The stimulator is implemented in a standard 0.13μm CMOS technology. Post-layout and Monte Carlo simulation results show 8-bit functionality from 5μA to 1.2mA, a 2.5V swing and 1 percent current matching between positive and negative pulses.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score0.475

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.136
GPT teacher head0.290
Teacher spread0.155 · 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

Citations10
Published2011
Admission routes1
Has abstractyes

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