ArticleNature neuroscience2025
Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex.
Article in Nature neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- Predictive pursuit emerges in high-dimensional recurrent neural networks.bioRxiv : the preprint server for biology · 2026Article
- Spatial reasoning via recurrent neural dynamics in mouse retrosplenial cortex.Nature neuroscience · 2025Article
- ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.Nature methods · 2025Article
- A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.bioRxiv : the preprint server for biology · 2023Article
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7 authors.
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Abstract
From visual perception to language, sensory stimuli change their meaning depending on previous experience. Recurrent neural dynamics can interpret stimuli based on externally cued context, but it is unknown whether they can compute and employ internal hypotheses to resolve ambiguities. Here we show that mouse retrosplenial cortex (RSC) can form several hypotheses over time and perform spatial reasoning through recurrent dynamics. In our task, mice navigated using ambiguous landmarks that are identified through their mutual spatial relationship, requiring sequential refinement of hypotheses. Neurons in RSC and in artificial neural networks encoded mixtures of hypotheses, location and sensory information, and were constrained by robust low-dimensional dynamics. RSC encoded hypotheses as locations in activity space with divergent trajectories for identical sensory inputs, enabling their correct interpretation. Our results indicate that interactions between internal hypotheses and external sensory data in recurrent circuits can provide a substrate for complex sequential cognitive reasoning.
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