ArticleNeuron2023
A view-based decision mechanism for rewards in the primate amygdala.
Article in Neuron, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Role of the primate ventral striatum as a neural hub bridging option valuation and action selection.Nature communications · 2026Article
- Value coding by primate amygdala neurons complies with the continuity axiom of economic choice theory.Journal of neurophysiology · 2026Article
- Preferences for fat, sugar, and oral-sensory food qualities in monkeys and humans.Physiology & behavior · 2025Review
- Orbitofrontal cortex computes gaze-dependent comparisons between attributes rather than integrated values.PLoS biology · 2025Article
- Chemogenetic inhibition of amygdala to ventrolateral prefrontal cortex communication selectively impacts contingent learning.bioRxiv : the preprint server for biology · 2025Article
- Orbitofrontal High-Gamma Reflects Spike-Dissociable Value and Decision Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Dynamic coding and sequential integration of multiple reward attributes by primate amygdala neurons.Nature communications · 2025Article
- Comparative basolateral amygdala connectomics reveals dissociable single-neuron projection patterns to frontal cortex in macaques and mice.Current biology : CB · 2024Article
- The amygdala and the pursuit of future rewards.Frontiers in neuroscience · 2024Review
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 3 countries.
Funding
Abstract
Primates make decisions visually by shifting their view from one object to the next, comparing values between objects, and choosing the best reward, even before acting. Here, we show that when monkeys make value-guided choices, amygdala neurons encode their decisions in an abstract, purely internal representation defined by the monkey's current view but not by specific object or reward properties. Across amygdala subdivisions, recorded activity patterns evolved gradually from an object-specific value code to a transient, object-independent code in which currently viewed and last-viewed objects competed to reflect the emerging view-based choice. Using neural-network modeling, we identified a sequence of computations by which amygdala neurons implemented view-based decision making and eventually recovered the chosen object's identity when the monkeys acted on their choice. These findings reveal a neural mechanism in the amygdala that derives object choices from abstract, view-based computations, suggesting an efficient solution for decision problems with many objects.
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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.