ReviewTrends in cognitive sciences2026
Orbitofrontal-sensory cortical interactions in learning and adaptive decision-making.
Review in Trends in cognitive sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- The Orbitofrontal Cortex Represents the Allocentric Spatial States of Dynamic Agents Within a Static Environmental Framework.Neuroscience bulletin · 2026Article
- Perceptual training selectively strengthens top-down signaling to sensory cortex.bioRxiv : the preprint server for biology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The orbitofrontal cortex (OFC) is a hub for value-guided decision-making, linked reciprocally with both cortical and subcortical regions. While projections from sensory areas to the OFC - and vice versa - are known to support goal-directed learning, these projections have often been studied in isolation, and their joint effect remains poorly understood. Here, we revisit these circuits through a unifying computational framework. We propose that sensory cortices send compressed task knowledge to the OFC to build abstract task models, while OFC feedback provides teaching signals that reshape sensory representations within the cortical hierarchy. This bidirectional exchange equips sensory areas with cognitive functions that extend well beyond passive feature detection, with significant implications for our understanding of learning, cognitive models, and artificial neural networks.
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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 Socratic graph.