ReviewTrends in cognitive sciences2024
Thalamocortical architectures for flexible cognition and efficient learning.
Review in Trends in cognitive sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Prefrontal modulation of striatal engagement: a hierarchical framework for goal-directed behavior.Communications biology · 2026Review
- Thalamocortical regulation of prefrontal stability enables abstract rule generalization.Science advances · 2026Article
- Compromised synaptic signal from prefrontal cortex to mediodorsal thalamus in Alzheimer's disease models and its rescue by kinase inhibitors.The Journal of physiology · 2026Article
- Pulvinar pathways as skip connections in deep neural networks for vision.Frontiers in neuroimaging · 2026Article
- The neural basis for uncertainty processing in hierarchical decision making.Nature communications · 2025Article
- Thalamic regulation of reinforcement learning strategies across prefrontal-striatal networks.Nature communications · 2025Article
- Developing algorithmic psychiatry via multi-level spanning computational models.Cell reports. Medicine · 2025Review
- Mediodorsal thalamus regulates task uncertainty to enable cognitive flexibility.Nature communications · 2025Article
- Article
- A prefrontal thalamocortical readout for conflict-related executive dysfunction in schizophrenia.Cell reports. Medicine · 2024Article
- Evidence for direct dopaminergic connections between substantia nigra pars compacta and thalamus in young healthy humans.Frontiers in neural circuits · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The brain exhibits a remarkable ability to learn and execute context-appropriate behaviors. How it achieves such flexibility, without sacrificing learning efficiency, is an important open question. Neuroscience, psychology, and engineering suggest that reusing and repurposing computations are part of the answer. Here, we review evidence that thalamocortical architectures may have evolved to facilitate these objectives of flexibility and efficiency by coordinating distributed computations. Recent work suggests that distributed prefrontal cortical networks compute with flexible codes, and that the mediodorsal thalamus provides regularization to promote efficient reuse. Thalamocortical interactions resemble hierarchical Bayesian computations, and their network implementation can be related to existing gating, synchronization, and hub theories of thalamic function. By reviewing recent findings and providing a novel synthesis, we highlight key research horizons integrating computation, cognition, and systems neuroscience.
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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.