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Dissociable neural systems for analogy and metaphor: Implications for the neuroscience of creativity

2011· review· en· W1886248742 on OpenAlex
Oshin Vartanian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBritish Journal of Psychology · 2011
Typereview
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsAnalogyMetaphorCreativityPsychologyNeuroimagingCognitionCognitive scienceFunctional magnetic resonance imagingCognitive neuroscienceCognitive psychologyNeural correlates of consciousnessFunctional neuroimagingNeuroscienceEpistemologySocial psychology

Abstract

fetched live from OpenAlex

Two recent reviews of the neuroimaging literature on creativity have pointed to inconsistent findings across studies, calling into question the usefulness of the theoretical constructs motivating the search for its neural bases. However, it is argued that consistent patterns of neural activation do emerge when the cognitive process and the neuroimaging method are kept uniform across studies. To demonstrate this empirically, the activation likelihood estimation (ALE) method was used to conduct quantitative meta-analyses of functional magnetic resonance imaging (fMRI) experiments of analogy and metaphor - two processes related to creativity and included in the recent reviews. The results demonstrated that analogy and metaphor reliably activate consistent but dissociable brain regions across fMRI studies. The implications of the findings for cognitive theories of analogy and metaphor are discussed. Furthermore, these results demonstrate that to the extent that creativity has heterogeneous sources, its neural instantiation will vary as a function of the underlying cognitive processes.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.957
Threshold uncertainty score0.743

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.247
GPT teacher head0.493
Teacher spread0.246 · 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