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Beta and Gamma Rhythms

2010· other· en· W1603769967 on OpenAlexaff
L. Stan Leung

Bibliographic record

VenueThe Corsini Encyclopedia of Psychology · 2010
Typeother
Languageen
FieldNeuroscience
TopicNeural dynamics and brain function
Canadian institutionsWestern University
Fundersnot available
KeywordsBeta RhythmElectroencephalographyRhythmStimulus (psychology)PhysicsBETA (programming language)NeuroscienceElectrophysiologyMagnetoencephalographyStimulationAlpha rhythmScalpNuclear magnetic resonanceCommunicationPsychologyBiologyAnatomyComputer scienceAcoustics

Abstract

fetched live from OpenAlex

Abstract Beta and gamma rhythms were first studied in the human electroencephalogram (EEG) recorded from the scalp. Beta waves of >13 Hz appear in the occipital EEG when the eyes are open, as first reported by Hans Berger who also named the 8–12 Hz alpha rhythm (Niedermeyer, 2005). As used by neuroscientists, beta typically designates 13 to ∼30 Hz and gamma describes ∼30 to 100 Hz, including the 40‐Hz oscillations, while higher frequency activities are called ripples (∼100–500 Hz). Beta, gamma, and ripple EEGs are of relatively low amplitude (<30 μV) in the EEG, and quantification normally requires computer analysis, with careful separation from muscle and 50–60 Hz electrical power artifacts. Other than in the EEG, gamma and beta activities can be found in the magnetoencephalogram (MEG), local field potentials, extracellular neuronal unit firings, and intracellularly recorded membrane potentials. Spontaneous (steady‐state), evoked, and induced gamma rhythms are distinguished. Spontaneous rhythm occurs without stimulation, evoked gamma activity is time‐locked to the stimulus, and induced gamma is increased by the stimulus but not time‐locked to it.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.121
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.289
Teacher spread0.268 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2010
Admission routes1
Has abstractyes

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