ArticleNature communications2025
The neural basis for uncertainty processing in hierarchical decision making.
Article in Nature communications, 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.
- Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026Review
- Thalamocortical regulation of prefrontal stability enables abstract rule generalization.Science advances · 2026Article
- A neural mechanism for online discovery of latent contexts.bioRxiv : the preprint server for biology · 2026Article
- Pulvinar pathways as skip connections in deep neural networks for vision.Frontiers in neuroimaging · 2026Article
- Thalamic regulation of reinforcement learning strategies across prefrontal-striatal networks.Nature communications · 2025Article
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Authors and funding
3 authors.
Funding
Abstract
Hierarchical decisions in natural environments require processing uncertainty across multiple levels, but existing models struggle to explain how animals perform flexible, goal-directed behaviors under such conditions. Here we introduce CogLinks, biologically grounded neural architectures that combine corticostriatal circuits for reinforcement learning and frontal thalamocortical networks for executive control. Through mathematical analysis and targeted lesion, we show that these systems specialize in different forms of uncertainty, and their interaction supports hierarchical decisions by regulating efficient exploration, and strategy switching. We apply CogLinks to a computational psychiatry problem, linking neural dysfunction in schizophrenia to atypical reasoning patterns in decision making. Overall, CogLink fills an important gap in the computational landscape, providing a bridge from neural substrates to higher cognition.
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Registered trials
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