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Record W7132930530

Dissociating types of associative memory: Evidence and theoretical implications

2008· dissertation· W7132930530 on OpenAlexafffund
Mélanie Cohn

Bibliographic record

VenueTSpace · 2008
Typedissertation
Language
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto
KeywordsAssociative propertyContent-addressable memoryEncoding (memory)RecallEpisodic memoryAssociation (psychology)Process (computing)
DOInot available

Abstract

fetched live from OpenAlex

The ability to recognize explicitly newly learned individual pieces of information (item memory) is reliant on familiarity, which is a memory process characterized by a decontextualized sense of oldness. Conversely, the ability to recognize the associations between these items (associative memory) relies on recollection, which is a memory process characterized by the retrieval of contextual information that depends on binding operations at encoding to create these associations and on recall-like operations to access these links consciously at retrieval. It remains possible, however, that some types of associative representations, like familiarity, are accessed without recourse to recall-like processes. The main goal of this study is to investigate the latter possibility and determine whether different types of associative memory rely on different memory processes and neural substrates. I demonstrated that these types of associative memory are dissociable from item memory and familiarity on the basis of their reliance on relational binding at encoding, and are dissociable from one another on the basis of their reliance on recall-like, strategic retrieval processes. Associative reinstatement does not rely on recall-like processes or recollection, but instead depends on associative familiarity. This process is distinct from that involved in item recognition and may index binding of information at encoding without involving the conscious re-experiencing characteristic of recollection at retrieval. I discuss these findings within a neuropsychological framework, in which the different types of associative memory are subserved by different MTL structures and differentially rely on frontal regions. In six experiments, I investigated two types of associative memory: (1) associative identification, which relies on recall-like processes and recollection to explicitly distinguish between studied and novel associations, and (2) associative reinstatement, which does not involve recall-like processes and represents how the reinstatement of associative information enhances item memory performance. I contrasted these measures in young adults under experimental manipulations designed to modulate relational binding at encoding (Exp. 1---levels-of-processing) and recall-like processes at retrieval (Exp. 2---response deadline; Exp. 3---speed-accuracy tradeoff; Exp. 4---overlapping pairings) and in populations with impaired binding following medial temporal lobes (MTL) lesions (Exp. 5---unilateral MTL excisions patients) or impaired recall-like abilities due to sub-optimal frontal function (Exp. 6---older adults).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.009
Scholarly communication0.0020.008
Open science0.0030.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.059
GPT teacher head0.394
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2008
Admission routes2
Has abstractyes

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