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A Bridge Over Troubled Water: Reconsolidation as a Link Between Cognitive and Neuroscientific Memory Research Traditions

2009· review· en· W2130108344 on OpenAlex

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

VenueAnnual Review of Psychology · 2009
Typereview
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsMcGill University
Fundersnot available
KeywordsMemory consolidationPsychologyCognitive scienceHindsight biasCognitionCognitive psychologyNoticeCognitive neuroscienceExpectancy theoryPhenomenonNeuroscienceSocial psychologyHippocampusEpistemology

Abstract

fetched live from OpenAlex

There are two research traditions on dynamic memory processes. In cognitive psychology, the malleable nature of long-term memory has been extensively documented. Distortions, such as the misinformation effect or hindsight bias, illustrate that memories can be easily changed, often without their owner taking notice. On the other hand, effects like hypermnesia demonstrate that memory might be more reliable than these distortions suggest. In the neuroscience field, similar observations were obtained mostly from animal studies. Research on memory consolidation suggested that memories become progressively resistant to amnesic treatments over time, but the reconsolidation phenomenon showed that this stability can be transiently lifted when these memories are reactivated, i.e., retrieved. Surprisingly, both research traditions have not taken much notice of each others' advances in understanding memory dynamics. We apply concepts developed in neuroscience to phenomena revealed in cognitive psychology to illustrate how these twins separated at birth may be reunited again.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.398
GPT teacher head0.530
Teacher spread0.132 · 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