ArticleCell2024
Learning attentional templates for value-based decision-making.
Article in Cell, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Reusable modular architecture enables flexible cognitive operations in the mouse brain and artificial recurrent networks.Nature neuroscience · 2026Article
- Cerebellar neural populations orchestrate dopamine reward signaling with single-trial precision.Nature communications · 2026Article
- Modulation of feature attention by reward prediction error explains value learning behavior.bioRxiv : the preprint server for biology · 2026Article
- Article
- Neural representations of beliefs in a multi-dimensional inference task.bioRxiv : the preprint server for biology · 2026Article
- Cognitive Maps in the Prefrontal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Reusable modular architecture enables flexible cognitive operations.Research square · 2025Article
- A neural manifold view of the brain.Nature neuroscience · 2025Review
- Transformed Visual Working Memory Representations in Human Occipitotemporal and Posterior Parietal Cortices.eNeuro · 2025Article
- Statistical learning re-shapes the center-surround inhibition of the visuo-spatial attentional focus.Scientific reports · 2025Article
- Using the cognitive rigidity-flexibility dimension to deepen our understanding of the autism spectrum.Personality neuroscience · 2025Review
- The human posterior parietal cortices orthogonalize the representation of different streams of information concurrently coded in visual working memory.PLoS biology · 2024Article
- Self-Improvising Memory: A Perspective on Memories as Agential, Dynamically Reinterpreting Cognitive Glue.Entropy (Basel, Switzerland) · 2024Article
- Building compositional tasks with shared neural subspaces.bioRxiv : the preprint server for biology · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Attention filters sensory inputs to enhance task-relevant information. It is guided by an "attentional template" that represents the stimulus features that are currently relevant. To understand how the brain learns and uses templates, we trained monkeys to perform a visual search task that required them to repeatedly learn new attentional templates. Neural recordings found that templates were represented across the prefrontal and parietal cortex in a structured manner, such that perceptually neighboring templates had similar neural representations. When the task changed, a new attentional template was learned by incrementally shifting the template toward rewarded features. Finally, we found that attentional templates transformed stimulus features into a common value representation that allowed the same decision-making mechanisms to deploy attention, regardless of the identity of the template. Altogether, our results provide insight into the neural mechanisms by which the brain learns to control attention and how attention can be flexibly deployed across tasks.
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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.