ArticleProceedings of the National Academy of Sciences of the United States of America2022
Geometry of neural computation unifies working memory and planning.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Ketamine induces multiple individually distinct whole-brain functional connectivity signatures.eLife · 2024Trial
- Neural dynamics underlying minute-timescale persistent behaviour in the human brain.Nature human behaviour · 2026Article
- Learning shapes neural geometry in the primate prefrontal cortex.Nature neuroscience · 2026Article
- Anterior lateral motor cortex enables contextual decision-making via dynamic reconfiguration of local circuits.Cell reports · 2026Article
- Article
- Sensory reformatting for a working visual memory.Trends in cognitive sciences · 2025Review
- ALM enables contextual decision-making via dynamic reconfiguration of local circuits.bioRxiv : the preprint server for biology · 2025Article
- Convergent neural dynamical systems for task control in artificial networks and human brains.bioRxiv : the preprint server for biology · 2025Article
- Orthogonal neural representations support perceptual judgments of natural stimuli.Scientific reports · 2025Article
- Two-dimensional neural geometry underpins hierarchical organization of sequence in human working memory.Nature human behaviour · 2025Article
- Article
- The topology and geometry of neural representations.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection.Nature communications · 2024Article
- Maintenance and transformation of representational formats during working memory prioritization.Nature communications · 2024Article
- A Transient High-dimensional Geometry Affords Stable Conjunctive Subspaces for Efficient Action Selection.bioRxiv : the preprint server for biology · 2024Article
- Orthogonal neural representations support perceptual judgements of natural stimuli.bioRxiv : the preprint server for biology · 2024Article
- The neuronal implementation of representational geometry in primate prefrontal cortex.Science advances · 2023Article
- Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior.Nature communications · 2022Article
- 50 years of mnemonic persistent activity: quo vadis?Trends in neurosciences · 2021Review
- Neural population geometry: An approach for understanding biological and artificial neural networks.Current opinion in neurobiology · 2021Review
Corrections and comments
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2 authors.
Funding
Abstract
Real-world tasks require coordination of working memory, decision-making, and planning, yet these cognitive functions have disproportionately been studied as independent modular processes in the brain. Here, we propose that contingency representations, defined as mappings for how future behaviors depend on upcoming events, can unify working memory and planning computations. We designed a task capable of disambiguating distinct types of representations. In task-optimized recurrent neural networks, we investigated possible circuit mechanisms for contingency representations and found that these representations can explain neurophysiological observations from the prefrontal cortex during working memory tasks. Our experiments revealed that human behavior is consistent with contingency representations and not with traditional sensory models of working memory. Finally, we generated falsifiable predictions for neural data to identify contingency representations in neural data and to dissociate different models of working memory. Our findings characterize a neural representational strategy that can unify working memory, planning, and context-dependent decision-making.
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