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Record W3128240839 · doi:10.1037/bne0000440

Theta rhythm across the species: Bridging inconsistencies with a multiple memory systems approach.

2020· review· en· W3128240839 on OpenAlexaff
Shanny Foo, Véronique D. Bohbot

Bibliographic record

VenueBehavioral Neuroscience · 2020
Typereview
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsDouglas Mental Health University Institute
Fundersnot available
KeywordsRhythmBridging (networking)PsychologyNeuroscienceCognitive psychologyCognitive scienceComputer scienceMedicine

Abstract

fetched live from OpenAlex

The discovery of movement-modulated 7-8 Hz theta rhythm in rodents provided one of the earliest indications of synchronicity of neuronal firing in the hippocampus. Subsequent research expanded on this finding on theta rhythm and its role in other domains such as spatial navigation and memory. Nevertheless, discrepancies among animal models posed the question of how well the animal literature represents human mechanisms. Technological advances have since facilitated research taking place directly in humans, typically neurosurgical patients implanted with intracranial electrodes. Human studies have observed lower frequency oscillations in participants engaged in virtual spatial navigation studies, compared to the 7-8 Hz oscillations seen in rodents. Recently, research in humans engaged in real-world task demonstrating 7-9 Hz oscillations infer that the previously observed lower frequency theta may have been constrained by the absence of movement-related processing that occurs in physical activities. Together, these findings suggest that humans may indeed be more similar to rodent models than previously reported when completing tasks more analogous to those used in rodent experiments. This review summarizes early work on theta rhythm across species and outlines certain remaining discrepancies as well as a novel proposed hypothesis of the behavioral correlates of theta rhythm, taking a multiple memory systems perspective. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.965
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0000.002
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 head0.312
GPT teacher head0.375
Teacher spread0.063 · 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
GenreReview

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
Published2020
Admission routes1
Has abstractyes

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