ArticleNature neuroscience2022
Hippocampal representations of foraging trajectories depend upon spatial context.
Article in Nature neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- The hippocampus as a small-world cognitive map.bioRxiv : the preprint server for biology · 2026Article
- Strain- and age-dependent divergence in mouse appetitive spatial learning and decision strategies.Frontiers in behavioral neuroscience · 2026Article
- Evolution of cellular architecture and function of the hippocampus: insights from the artificial selection experiment.Biology letters · 2025Article
- Deep RL Needs Deep Behavior Analysis: Exploring Implicit Planning by Model-Free Agents in Open-Ended Environments.Advances in neural information processing systems · 2025Article
- Inductive biases of neural network modularity in spatial navigation.Science advances · 2024Article
- A recurrent network model of planning explains hippocampal replay and human behavior.Nature neuroscience · 2024Article
- A goal pointer for a cognitive map in the orbitofrontal cortex.Current opinion in neurobiology · 2023Review
Corrections and comments
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Authors and funding
3 authors.
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Abstract
Animals learn trajectories to rewards in both spatial, navigational contexts and relational, non-navigational contexts. Synchronous reactivation of hippocampal activity is thought to be critical for recall and evaluation of trajectories for learning. Do hippocampal representations differentially contribute to experience-dependent learning of trajectories across spatial and relational contexts? In this study, we trained mice to navigate to a hidden target in a physical arena or manipulate a joystick to a virtual target to collect delayed rewards. In a navigational context, calcium imaging in freely moving mice revealed that synchronous CA1 reactivation was retrospective and important for evaluation of prior navigational trajectories. In a non-navigational context, reactivation was prospective and important for initiation of joystick trajectories, even in the same animals trained in both contexts. Adaptation of trajectories to a new target was well-explained by a common learning algorithm in which hippocampal activity makes dissociable contributions to reinforcement learning computations depending upon spatial context.
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Registered trials
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