ArticleNature communications2024
A transient high-dimensional geometry affords stable conjunctive subspaces for efficient action selection.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Adaptive behavior is guided by integrated representations of controlled and non-controlled information.eLife · 2026Article
- Developmental tuning of functional manifold dimensionality across the human brain.bioRxiv : the preprint server for biology · 2026Article
- Hippocampal ripples initiate cortical dimensionality expansion for memory retrieval.Nature communications · 2026Article
- Hierarchical Reconfiguration of Neurocognitive Task Set Representations Mediates Cognitive Flexibility.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Integrated Representations of Threat and Controllability in the Lateral Frontal Pole.Journal of cognitive neuroscience · 2026Article
- Hierarchical Reconfiguration of Neurocognitive Task Set Representations Mediates Cognitive Flexibility.bioRxiv : the preprint server for biology · 2026Article
- Conjunctive population coding integrates sensory evidence to guide adaptive behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Adaptive behavior is guided by integrated representations of controlled and non-controlled information.bioRxiv : the preprint server for biology · 2025Article
- Neural and behavioral signatures of policy compression in cognitive control.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Practice reshapes the geometry and dynamics of task-tailored representations.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Neural and behavioral signatures of policy compression in cognitive control.bioRxiv : the preprint server for biology · 2025Article
- Novel Verbal Instructions Recruit Abstract Neural Patterns of Time-Variable Information Dimensionality.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Task structure tailors the geometry of neural representations in human lateral prefrontal cortex.bioRxiv : the preprint server for biology · 2025Article
- Cognitive Control.Annual review of psychology · 2025Review
- Practice Reshapes the Geometry and Dynamics of Task-tailored Representations.bioRxiv : the preprint server for biology · 2024Article
- Timescales of learning in prefrontal cortex.Nature reviews. Neuroscience · 2024Review
- Sequential neuronal processing of number values, abstract decision, and action in the primate prefrontal cortex.PLoS biology · 2024Article
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4 authors.
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Abstract
Flexible action selection requires cognitive control mechanisms capable of mapping the same inputs to different output actions depending on the context. From a neural state-space perspective, this requires a control representation that separates similar input neural states by context. Additionally, for action selection to be robust and time-invariant, information must be stable in time, enabling efficient readout. Here, using EEG decoding methods, we investigate how the geometry and dynamics of control representations constrain flexible action selection in the human brain. Participants performed a context-dependent action selection task. A forced response procedure probed action selection different states in neural trajectories. The result shows that before successful responses, there is a transient expansion of representational dimensionality that separated conjunctive subspaces. Further, the dynamics stabilizes in the same time window, with entry into this stable, high-dimensional state predictive of individual trial performance. These results establish the neural geometry and dynamics the human brain needs for flexible control over behavior.
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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.