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Record W3172796208 · doi:10.82308/25904

Amnesia of reactivation, new learning and second learning

2006· article· en· W3172796208 on OpenAlexfundno aff
Szu‐Han Wang

Bibliographic record

VenueeScholarship@McGill (McGill) · 2006
Typearticle
Languageen
FieldPsychology
TopicEducational and Psychological Assessments
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchAlfred P. Sloan Foundation
KeywordsAmnesiaPsychologyCognitive scienceCognitive psychology

Abstract

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Memory refers to the retention of learned information or experiences in the brain. It is known that interference of certain brain functions immediately after training or memory reactivation can cause memory loss (i.e. amnesia). The post-training process is called consolidation and the post reactivation process is called reconsolidation. However, it remains unclear as to: (1) whether appetitive, goal-directed memories undergo reconsolidation, (2) whether overtrained memories undergo reconsolidation, (3) what the nature of amnesia is (i.e. whether it represents storage or retrieval impairment), (4) how to test the nature of amnesia, and (5) whether the brain uses the same mechanism for a new learning and from a second learning. This thesis, composed of five manuscripts, aims to answer these questions. In the first manuscript, the model of incentive learning of appetitive outcomes in instrumental conditioning was used. Protein synthesis inhibitor (PSI) was infused into lateral and basal amygdala (LBA) after the new incentive learning and after the reactivation of the memory. The results show that appetitive memories in controlling goal-directed behaviors underwent consolidation and reconsolidation in the LBA. In the second manuscript, rats were overtrained with auditory fear conditioning and received intra-LBA PSI infusions after memory reactivation. The results show that only old, but not recent, overtrained auditory fear memories underwent reconsolidation. This suggests overtraining sets a boundary condition on memory reconsolidation. Further results showed dorsal hippocampus and intra-LBA NR2B-subunit containing N-methyl-D-aspartic acid receptors (NMDAr) were involved in this boundary condition. In the third manuscript, the unresolved debate about the nature of amnesia was reviewed from a historical perspective and the suggestions on reconciling this issue are proposed. In the fourth manuscript, a new approach was used to test the nature of amnesia in contextual fear conditioning. Because NMDAr blockade impairs a new learning but not a second learning, it is predicted that if a memory is not stored then the second learning should be impaired by NMDAr blockade. The results suggest amnesia of contextual fear memory caused by intra-dorsal hippocampus (dH) PSI infusion represents a storage impairment which gives a different result from extinction induced irretrievability. In the fifth manuscript , the aim is to identify the brain mechanism for the second learning as the previous manuscript suggests it is different from the first learning mechanism. The results show that the first, but not the second learning required voltage-dependent calcium channels and activation in dH. The second learning was impaired by intra-dH or ventral hippocampus (vH) inactivation only when the protein synthesis in the other portion of hippocampus was blocked after training. This suggests while the first learning by default requires dH, the second learning can be acquired through a functional dH or vH. In summary, this thesis extends memory research from consolidating a new learning to characterizing the reconsolidation of appetitive and overtrained memory to consolidating a second learning which will lead to a more complete description of memory process.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.295
Teacher spread0.273 · 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 designObservational
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
Published2006
Admission routes1
Has abstractyes

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