ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2022
Temporal Dynamics of Competition between Statistical Learning and Episodic Memory in Intracranial Recordings of Human Visual Cortex.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- Deficits in episodic memory and executive functions in relation to CB1 receptor availability in Parkinson's disease.Journal of Parkinson's disease · 2026Article
- Article
- How Prediction of the Future Affects Encoding of the Present: Cooperation or Competition?Open mind : discoveries in cognitive science · 2026Article
- Tracking Visual Statistical Learning with Steady-State Visual Evoked Potentials: Effects of Exemplar and Category Information.Open mind : discoveries in cognitive science · 2026Article
- Statistical learning prioritizes abstract over item-specific representations.Psychonomic bulletin & review · 2025Article
- Taking time: Auditory statistical learning benefits from distributed exposure.Psychonomic bulletin & review · 2025Article
- Successful Prediction Is Associated With Enhanced Encoding.Open mind : discoveries in cognitive science · 2025Article
- Predictions enable top-down pattern separation in the macaque face-processing hierarchy.Nature communications · 2024Article
- Acute Stress Effects on Statistical Learning and Episodic Memory.Journal of cognitive neuroscience · 2024Article
- Multiple mechanisms of visual prediction as revealed by the timecourse of scene-object facilitation.Psychophysiology · 2024Article
- A generative model of memory construction and consolidation.Nature human behaviour · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The function of long-term memory is not just to reminisce about the past, but also to make predictions that help us behave appropriately and efficiently in the future. This predictive function of memory provides a new perspective on the classic question from memory research of why we remember some things but not others. If prediction is a key outcome of memory, then the extent to which an item generates a prediction signifies that this information already exists in memory and need not be encoded. We tested this principle using human intracranial EEG as a time-resolved method to quantify prediction in visual cortex during a statistical learning task and link the strength of these predictions to subsequent episodic memory behavior. Epilepsy patients of both sexes viewed rapid streams of scenes, some of which contained regularities that allowed the category of the next scene to be predicted. We verified that statistical learning occurred using neural frequency tagging and measured category prediction with multivariate pattern analysis. Although neural prediction was robust overall, this was driven entirely by predictive items that were subsequently forgotten. Such interference provides a mechanism by which prediction can regulate memory formation to prioritize encoding of information that could help learn new predictive relationships.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.