ArticleJournal of experimental psychology. Learning, memory, and cognition2021
Neural measures of subsequent memory reflect endogenous variability in cognitive function.
Article in Journal of experimental psychology. Learning, memory, and cognition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
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Who cites it
8 citing papers in PubMed.
- Neural biomarkers of age-related memory change.Psychology and aging · 2025Article
- The Penn Electrophysiology of Encoding and Retrieval Study.Journal of experimental psychology. Learning, memory, and cognition · 2024Article
- Multitrial free recall for evaluating memory.Neuropsychology · 2024Article
- Direct brain recordings suggest a causal subsequent-memory effect.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Identifying causal subsequent memory effects.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- EEG biomarkers of free recall.NeuroImage · 2022Article
- Sustained Attention and Spatial Attention Distinctly Influence Long-term Memory Encoding.Journal of cognitive neuroscience · 2021Article
- Task-invariant networks interfere with and task-specific networks support memory formation: An fMRI meta-analysis.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
2 authors.
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Abstract
Human cognition exhibits a striking degree of variability: Sometimes we rapidly forge new associations whereas at other times new information simply does not stick. Correlations between neural activity during encoding and subsequent retrieval performance have implicated such "subsequent memory effects" (SMEs) as important for understanding the neural basis of memory formation. Uncontrolled variability in external factors that also predict memory performance, however, confounds the interpretation of these effects. By controlling for a comprehensive set of external variables, we investigated the extent to which neural correlates of successful memory encoding reflect variability in endogenous brain states. We show that external variables that reliably predict memory performance have relatively small effects on electroencephalographic (EEG) correlates of successful memory encoding. Instead, the brain activity that is diagnostic of successful encoding primarily reflects fluctuations in endogenous neural activity. These findings link neural activity during learning to endogenous states that drive variability in human cognition. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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