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Record W2788604098 · doi:10.1037/xhp0000522

Fixation reinstatement supports visuospatial memory in older adults.

2018· article· en· W2788604098 on OpenAlexafffund
Jordana S. Wynn, Rosanna K. Olsen, Malcolm A. Binns, Bradley R. Buchsbaum, Jennifer D. Ryan

Bibliographic record

VenueJournal of Experimental Psychology Human Perception & Performance · 2018
Typearticle
Languageen
FieldNeuroscience
TopicNeural and Behavioral Psychology Studies
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsMnemonicEye movementStimulus (psychology)PsychologyFixation (population genetics)CognitionAudiologyCognitive agingNeuroscienceCognitive psychologyMedicine

Abstract

fetched live from OpenAlex

Research using eye movement monitoring suggests that recapitulating the pattern of eye movements made during stimulus encoding at subsequent retrieval supports memory by reinstating the spatial layout of the encoded stimulus. In the present study, the authors investigated whether recapitulation of encoding fixations during a poststudy, stimulus-free delay period-an effect that has been previously linked to memory maintenance in younger adults-can support mnemonic performance in older adults. Older adults showed greater delay-period fixation reinstatement than younger adults, and this reinstatement supported age-equivalent performance on a subsequent visuospatial-memory-based change detection task, whereas in younger adults, the performance-enhancing effects of fixation reinstatement increased with task difficulty. Taken together, these results suggest that fixation reinstatement might reflect a compensatory response to increased cognitive load. The present findings provide novel evidence of compensatory fixation reinstatement in older adults and demonstrate the utility of eye movement monitoring for aging and memory research. (PsycINFO Database Record

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.081
GPT teacher head0.426
Teacher spread0.345 · 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 designBench or experimental
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

Citations65
Published2018
Admission routes2
Has abstractyes

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