ArticleCurrent biology : CB2022
Predictive maps in rats and humans for spatial navigation.
Article in Current biology : CB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Experience-dependent emergence of multi-scale spatial organization during foraging in freely moving marmosets.iScience · 2026Article
- Acetylcholine: a candidate substrate for hippocampal predictive learning?Nature reviews. Neuroscience · 2026Review
- Subicular spatial codes arise from predictive mapping.Nature communications · 2026Article
- Flexible navigation with neuromodulated cognitive maps.PLoS computational biology · 2026Article
- Hippocampal place cells map terrain geometry independently of behavior.Science advances · 2026Article
- Flexible route planning and rapid structure learning by mice in complex environments.bioRxiv : the preprint server for biology · 2026Article
- Adaptive integration of model-based and model-free strategies in human reinforcement learning of reachable space.bioRxiv : the preprint server for biology · 2026Article
- Article
- Composing egocentric and allocentric maps for flexible navigation.PLoS computational biology · 2026Article
- Spatial priors affect sensory weighting in navigation and landing in Egyptian fruit bats.The Journal of experimental biology · 2025Article
- Reconciling flexibility and efficiency: medial entorhinal cortex represents a compositional cognitive map.Nature communications · 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
- Impact of symmetry in local learning rules on predictive neural representations and generalization in spatial navigation.PLoS computational biology · 2025Article
- The geometry of efficient codes: How rate-distortion trade-offs distort the latent representations of generative models.PLoS computational biology · 2025Article
- Human reinforcement learning processes and biases: computational characterization and possible applications to behavioral public policy.Mind & society · 2025Article
- Spatial prediction of dynamic interactions in rats.PloS one · 2025Article
- Predicting real-world navigation performance from a virtual navigation task in older adults.PloS one · 2025Article
- Linking the evolution of two prefrontal brain regions to social and foraging challenges in primates.eLife · 2024Article
- Linking cognitive strategy, neural mechanism, and movement statistics in group foraging behaviors.Scientific reports · 2024Article
- Centering cognitive neuroscience on task demands and generalization.Nature neuroscience · 2024Review
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14 authors.
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Abstract
Much of our understanding of navigation comes from the study of individual species, often with specific tasks tailored to those species. Here, we provide a novel experimental and analytic framework integrating across humans, rats, and simulated reinforcement learning (RL) agents to interrogate the dynamics of behavior during spatial navigation. We developed a novel open-field navigation task ("Tartarus maze") requiring dynamic adaptation (shortcuts and detours) to frequently changing obstructions on the path to a hidden goal. Humans and rats were remarkably similar in their trajectories. Both species showed the greatest similarity to RL agents utilizing a "successor representation," which creates a predictive map. Humans also displayed trajectory features similar to model-based RL agents, which implemented an optimal tree-search planning procedure. Our results help refine models seeking to explain mammalian navigation in dynamic environments and highlight the utility of modeling the behavior of different species to uncover the shared mechanisms that support behavior.
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