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Record W2391642282

Research on Children's Event-Related Potentials by Single Chinese Character Semantics Stimulus

2006· article· en· W2391642282 on OpenAlexaboutno aff
Xiaojun Liu

Bibliographic record

VenueZhongguo linchuang xinlixue zazhi · 2006
Typearticle
Languageen
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsnot available
Fundersnot available
KeywordsStimulus (psychology)PsychologyElectroencephalographyEvent-related potentialAudiologyCognitive psychologyPerceptionComprehensionCommunicationNeuroscienceComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Objective: To study the feature of event-related potential waveforms elicited by single Chinese Character semantic stimulus in normal children,compare and investigate the character of different types of event-related potentials.Methods: 31 10-year-old healthy children were examined with Canadian Stellate Systems 32 Channels Digital EEG and three lists of single Chinese Character semantic stimulus(related,non-related,pseudowords),While the stimulus information is shown to participants,EEG is recorded simultaneously.ERPs of three different stimuli are extracted from EEG and the P2 and N2 are analyzed.Results: The latencies of N2 and P2 in related semantic stimulus are significantly different from that in the unrelated semantic stimulus and psudowords.The amplitudes are not significantly different.The N2 waveform distributes all regions in the scalp,and there is no significant difference in right and left hemisphere.Conclusion: The waveforms and latencies of event-related potentials elicited by three types of stimuli are different.N2 is the main component of semantic stimulus,component P2 is considered to be related with the early semantic comprehension in children.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.315
Teacher spread0.290 · 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.

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

Citations3
Published2006
Admission routes1
Has abstractyes

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