ArticlePLoS computational biology2021
Models of heterogeneous dopamine signaling in an insect learning and memory center.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- VTA dopamine neuron activity produces spatially organized value representations.bioRxiv : the preprint server for biology · 2025Article
- Learning neural dynamics through instructive signals.bioRxiv : the preprint server for biology · 2025Article
- A corticostriatal learning mechanism linking excess striatal dopamine and auditory hallucinations.bioRxiv : the preprint server for biology · 2025Article
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- Article
- A feature-specific prediction error model explains dopaminergic heterogeneity.Nature neuroscience · 2024Article
- Beyond prediction error: 25 years of modeling the associations formed in the insect mushroom body.Learning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- Roles of feedback and feed-forward networks of dopamine subsystems: insights fromLearning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- Specific connectivity optimizes learning in thalamocortical loops.Cell reports · 2024Article
- Prediction error drives associative learning and conditioned behavior in a spiking model of Drosophila larva.iScience · 2024Article
- Reward expectations direct learning and drive operant matching inProceedings of the National Academy of Sciences of the United States of America · 2023Article
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- Minimal circuit motifs for second-order conditioning in the insect mushroom body.Frontiers in physiology · 2023Article
- Article
- Context-dependent representations of movement in Drosophila dopaminergic reinforcement pathways.Nature neuroscience · 2021Article
- Recurrent architecture for adaptive regulation of learning in the insect brain.Nature neuroscience · 2020Article
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Authors and funding
2 authors.
Funding
Abstract
The Drosophila mushroom body exhibits dopamine dependent synaptic plasticity that underlies the acquisition of associative memories. Recordings of dopamine neurons in this system have identified signals related to external reinforcement such as reward and punishment. However, other factors including locomotion, novelty, reward expectation, and internal state have also recently been shown to modulate dopamine neurons. This heterogeneity is at odds with typical modeling approaches in which these neurons are assumed to encode a global, scalar error signal. How is dopamine dependent plasticity coordinated in the presence of such heterogeneity? We develop a modeling approach that infers a pattern of dopamine activity sufficient to solve defined behavioral tasks, given architectural constraints informed by knowledge of mushroom body circuitry. Model dopamine neurons exhibit diverse tuning to task parameters while nonetheless producing coherent learned behaviors. Notably, reward prediction error emerges as a mode of population activity distributed across these neurons. Our results provide a mechanistic framework that accounts for the heterogeneity of dopamine activity during learning and behavior.
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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.