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Digital Realization for Ca2+ Waves Stimulated by the (mGlu5) Receptors

2021· article· en· W3191357925 on OpenAlexaff
Mahsasadat Seyedbarhagh, Arash Ahmadi, Majid Ahmadi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldNeuroscience
TopicNeural dynamics and brain function
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsRealization (probability)NeuroscienceNeurophysiologyComputer scienceMetabotropic glutamate receptorAstrocyteMetabotropic receptorSet (abstract data type)ReceptorComputer hardwareCentral nervous systemBiologyGlutamate receptorMathematics

Abstract

fetched live from OpenAlex

Astrocytes are known as electrically non-excitable cells, responsible for information processing and ubiquitously expressed through mammalian Central Nervous System (CNS). Any disruption on astrocytic Ca2+ signalling can lead to neurodegenerative disorders like Alzheimer's Disease (AD). A digital hardware design for astrocyte model with metabotropic Glu receptor 5 (mGluR5)-induced Ca2+ oscillations is presented here. In this paper, a set of piecewise linear functions is presented for this model to reduce the hardware resources and digital design complexity. Hardware synthesis and numerical simulation validate that the designed circuit can mimic the biophysical Ca2+ behavior with lower hardware cost. This model can be utilized for large-scale neurophysiological system of astrocytic Ca2+ excitability.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.024
GPT teacher head0.253
Teacher spread0.229 · 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 designSimulation or modeling
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

Citations0
Published2021
Admission routes1
Has abstractyes

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