ArticleNature communications2019
A non-spatial account of place and grid cells based on clustering models of concept learning.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Integrating neural decoding, memristive materials, and adaptive control frameworks for next-generation hippocampal memory prosthetics.iScience · 2026Review
- Task-relevant representational spaces in human memory traces.PLoS computational biology · 2025Article
- Goal-directed navigation in humans and deep reinforcement learning agents relies on an adaptive mix of vector-based and transition-based strategies.PLoS biology · 2025Article
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- A unified neural representation model for spatial and conceptual computations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Coordinating multiple mental faculties during learning.Scientific reports · 2025Article
- Prototype or Exemplar Representations in the 5/5 Category Learning Task.Behavioral sciences (Basel, Switzerland) · 2024Article
- A multilevel account of hippocampal function in spatial and concept learning: Bridging models of behavior and neural assemblies.Science advances · 2023Article
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- Excitatory-inhibitory recurrent dynamics produce robust visual grids and stable attractors.Cell reports · 2022Article
- Sleep targets highly connected global and local nodes to aid consolidation of learned graph networks.Scientific reports · 2022Article
- Article
- Are Grid-Like Representations a Component of All Perception and Cognition?Frontiers in neural circuits · 2022Article
- Generalized Simultaneous Localization and Mapping (G-SLAM) as unification framework for natural and artificial intelligences: towards reverse engineering the hippocampal/entorhinal system and principles of high-level cognition.Frontiers in systems neuroscience · 2022Article
- Prelimbic cortex maintains attention to category-relevant information and flexibly updates category representations.Neurobiology of learning and memory · 2021Article
- The grid code for ordered experience.Nature reviews. Neuroscience · 2021Review
- Cognitive maps of social features enable flexible inference in social networks.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- How do we generalize?Neurons, behavior, data analysis, and theory · 2021Article
- A Structure-Function Substrate of Memory for Spatial Configurations in Medial and Lateral Temporal Cortices.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps.Nature communications · 2021Article
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Authors and funding
2 authors.
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Abstract
One view is that conceptual knowledge is organized using the circuitry in the medial temporal lobe (MTL) that supports spatial processing and navigation. In contrast, we find that a domain-general learning algorithm explains key findings in both spatial and conceptual domains. When the clustering model is applied to spatial navigation tasks, so-called place and grid cell-like representations emerge because of the relatively uniform distribution of possible inputs in these tasks. The same mechanism applied to conceptual tasks, where the overall space can be higher-dimensional and sampling sparser, leading to representations more aligned with human conceptual knowledge. Although the types of memory supported by the MTL are superficially dissimilar, the information processing steps appear shared. Our account suggests that the MTL uses a general-purpose algorithm to learn and organize context-relevant information in a useful format, rather than relying on navigation-specific neural circuitry.
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