ReviewNature neuroscience2021
Formalizing planning and information search in naturalistic decision-making.
Review in Nature neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 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.
The trial behind it
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Who cites it
55 citing papers in PubMed.
- Anxiety sensitivity and intolerance of uncertainty track distinct neurobehavioral dimensions of avoidance in anxiety-related disorders.Molecular psychiatry · 2026Article
- Causal Mapping of Bodily Awareness and Mesoscale Circuit Organization in the Human Cingulate and Precuneus.Research square · 2026Article
- Learning shapes neural geometry in the primate prefrontal cortex.Nature neuroscience · 2026Article
- From peripersonal space to cognitive maps: An evolutionary perspective.Progress in neurobiology · 2026Review
- Why do we seek information about the future? On the origins of subjective value without instrumental value.bioRxiv : the preprint server for biology · 2026Article
- Predictive pursuit emerges in high-dimensional recurrent neural networks.bioRxiv : the preprint server for biology · 2026Article
- Learning to select computations in recurrent neural circuits.bioRxiv : the preprint server for biology · 2026Article
- Neurons embedded in loop-like motifs act as central hubs for brain-wide integration.The Journal of physiology · 2026Article
- Article
- Review
- Competing cognitive pressures on human exploration in the absence of trade-off with exploitation.Nature communications · 2026Article
- Article
- Reappraising intuitions about consciousness.Frontiers in psychology · 2026Article
- Active disambiguation guides inferring controllability and cause in social interactions.Nature communications · 2025Article
- Learning to Move and Plan like the Knight: Sequential Decision Making with a Novel Motor Mapping.Computational brain & behavior · 2025Article
- Humans Select Subgoals That Balance Immediate and Future Cognitive Costs During Physical Assembly.Cognitive science · 2025Article
- Foraging as an ethological framework for neuroscience.Trends in neurosciences · 2025Review
- Separable cognitive and motor decline tracked across adult life-span for goal-directed navigation.iScience · 2025Article
- Computational elements of natural vision.Journal of vision · 2025Review
- Replay in the human visual cortex during brief task pauses is linked to implicit learning of successor representations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
Decisions made by mammals and birds are often temporally extended. They require planning and sampling of decision-relevant information. Our understanding of such decision-making remains in its infancy compared with simpler, forced-choice paradigms. However, recent advances in algorithms supporting planning and information search provide a lens through which we can explain neural and behavioral data in these tasks. We review these advances to obtain a clearer understanding for why planning and curiosity originated in certain species but not others; how activity in the medial temporal lobe, prefrontal and cingulate cortices may support these behaviors; and how planning and information search may complement each other as means to improve future action selection.
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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.