ArticleNeuron2023
Mice identify subgoal locations through an action-driven mapping process.
Article in Neuron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 13 citations in OpenAlex.
- Flexible navigation with neuromodulated cognitive maps.PLoS computational biology · 2026Article
- Data-derived agents reveal dynamical reservoirs in mouse cortex for adaptive behavior.bioRxiv : the preprint server for biology · 2026Article
- Article
- Prefrontal cortex synchronization with the hippocampus and parietal cortex is strategy-dependent during spatial learning.Communications biology · 2025Article
- Social threat avoidance depends on action-outcome predictability.Communications psychology · 2024Article
- Tonically active GABAergic neurons in the dorsal periaqueductal gray control instinctive escape in mice.Current biology : CB · 2024Article
- Parietal stimulation reverses age-related decline in exploration, learning, and decision-making.bioRxiv : the preprint server for biology · 2023Article
- Adapting hippocampus multi-scale place field distributions in cluttered environments optimizes spatial navigation and learning.Frontiers in computational neuroscience · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Mammals form mental maps of the environments by exploring their surroundings. Here, we investigate which elements of exploration are important for this process. We studied mouse escape behavior, in which mice are known to memorize subgoal locations-obstacle edges-to execute efficient escape routes to shelter. To test the role of exploratory actions, we developed closed-loop neural-stimulation protocols for interrupting various actions while mice explored. We found that blocking running movements directed at obstacle edges prevented subgoal learning; however, blocking several control movements had no effect. Reinforcement learning simulations and analysis of spatial data show that artificial agents can match these results if they have a region-level spatial representation and explore with object-directed movements. We conclude that mice employ an action-driven process for integrating subgoals into a hierarchical cognitive map. These findings broaden our understanding of the cognitive toolkit that mammals use to acquire spatial knowledge.
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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.