ArticleProceedings of the National Academy of Sciences of the United States of America2020
How humans learn and represent networks.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05746299 (The Emergence of Abstract Structure Knowledge Across Learning and Sleep), which is not on this map. Cited by 28 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The Emergence of Abstract Structure Knowledge Across Learning and Sleep
Who cites it
28 citing papers in PubMed.
- Compressive learning scaffolds higher-order network structure to enhance human knowledge acquisition.Nature communications · 2026Article
- Shared enemies as prosocial tool: how to infer positive relationships from negative relationships in social networks.BMC psychology · 2026Article
- Reduced age differences in semantic memory networks: Evidence from semantically diverse free associations.Neuropsychologia · 2026Article
- Representational differentiation and integration within the hippocampal circuit during naturalistic stimuli.Communications biology · 2026Article
- Article
- Characterizing the Large-Scale Structure of Multimodal Semantic Networks.Cognitive science · 2025Article
- Replay in the human visual cortex during brief task pauses is linked to implicit learning of successor representations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Agency Modulation of Hippocampal Activity During Spatial Navigation.Research square · 2025Article
- Direct brain recordings reveal implicit encoding of structure in random auditory streams.Scientific reports · 2025Article
- Neural representations of noncentral events during narrative encoding predict subsequent story ending originality.Science advances · 2025Article
- Network structure influences the strength of learned neural representations.Nature communications · 2025Article
- Using the cognitive rigidity-flexibility dimension to deepen our understanding of the autism spectrum.Personality neuroscience · 2025Review
- Replay shapes abstract cognitive maps for efficient social navigation.Nature human behaviour · 2024Article
- Cognitive Graphs: Representational Substrates for Planning.Decision (Washington, D.C.) · 2024Article
- Emergent scale-free networks.PNAS nexus · 2024Article
- Abstract cognitive maps of social network structure aid adaptive inference.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Article
- Semantic Speech Networks Linked to Formal Thought Disorder in Early Psychosis.Schizophrenia bulletin · 2023Article
- Network-based prediction of the disclosure of ideation about self-harm and suicide in online counseling sessions.Communications medicine · 2022Article
- Sleep targets highly connected global and local nodes to aid consolidation of learned graph networks.Scientific reports · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
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.