ArticleNeuron2020
Map Making: Constructing, Combining, and Inferring on Abstract Cognitive Maps.
Article in Neuron, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
106 citing papers in PubMed.
- The emergence of egocentric biases when comparing others is independent of whether groups or individuals are being compared.Royal Society open science · 2026Article
- Neural basis of compositional control.Nature · 2026Article
- The Orbitofrontal Cortex Represents the Allocentric Spatial States of Dynamic Agents Within a Static Environmental Framework.Neuroscience bulletin · 2026Article
- Cognitive maps as a medium for thought.Trends in cognitive sciences · 2026Review
- Article
- An abstract relational map emerges in the human medial prefrontal cortex with consolidation.Current biology : CB · 2026Article
- From peripersonal space to cognitive maps: An evolutionary perspective.Progress in neurobiology · 2026Review
- Human hippocampal ripples coordinate planning sequences and compositional representations in neocortex.Nature neuroscience · 2026Article
- Hierarchical Reconfiguration of Neurocognitive Task Set Representations Mediates Cognitive Flexibility.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Neural geometry in the human hippocampus enables generalization across spatial position and gaze.ArXiv · 2026Article
- Lost in Space and Thought: Navigating the Cognitive Map in Alzheimer's Disease.Neuroscience bulletin · 2026Review
- Flexible neural representations of abstract structural knowledge in the human entorhinal cortex.eLife · 2026Article
- Entorhinal Cortex Signals Dimensions of Past Experience That Can Be Generalized in a Novel Environment.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Article
- Shared enemies as prosocial tool: how to infer positive relationships from negative relationships in social networks.BMC psychology · 2026Article
- Map-like representations of emotion knowledge in hippocampal-prefrontal systems.Nature communications · 2026Article
- Neural traces of composite tasks in complex task representation in the human brain reflects learning performance.PLoS biology · 2026Article
- Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning.Nature communications · 2025Article
- Developmental differences in social information use under uncertainty: A neurocomputational approach.Developmental cognitive neuroscience · 2025Article
- The dynamic interplay between in-context and in-weight learning in humans and neural networks.ArXiv · 2025Article
46 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
5 authors.
Funding
Abstract
Cognitive maps enable efficient inferences from limited experience that can guide novel decisions. We tested whether the hippocampus (HC), entorhinal cortex (EC), and ventromedial prefrontal cortex (vmPFC)/medial orbitofrontal cortex (mOFC) organize abstract and discrete relational information into a cognitive map to guide novel inferences. Subjects learned the status of people in two unseen 2D social hierarchies, with each dimension learned on a separate day. Although one dimension was behaviorally relevant, multivariate activity patterns in HC, EC, and vmPFC/mOFC were linearly related to the Euclidean distance between people in the mentally reconstructed 2D space. Hubs created unique comparisons between the hierarchies, enabling inferences between novel pairs. We found that both behavior and neural activity in EC and vmPFC/mOFC reflected the Euclidean distance to the retrieved hub, which was reinstated in HC. These findings reveal how abstract and discrete relational structures are represented, are combined, and enable novel inferences in the human brain.
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.