ArticleNature communications2021
Learning with reinforcement prediction errors in a model of the Drosophila mushroom body.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Elements of olfactory intelligence in Drosophila.Biological cybernetics · 2026Article
- Distributed cortical learning through LEC-mediated γ-synchrony.Nature communications · 2026Article
- Cerebellum-inspired neural network of supervised learning with tensor-based sparse coding for multi-class classification.PLoS computational biology · 2026Article
- A voltage-dependent switch underlies efficient yet specific learning and memory.Current biology : CB · 2026Article
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- Path integration and optic flow in flying insects: a review of current evidence.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2025Review
- A biological model of nonlinear dimensionality reduction.Science advances · 2025Article
- How bumblebees manage conflicting information seen on arrival and departure from flowers.Animal cognition · 2025Article
- Pavlovian safety learning: An integrative theoretical review.Psychonomic bulletin & review · 2025Review
- Non-Immune Functions of Innate Immunity Acting on Physiological Processes: Insights fromInternational journal of molecular sciences · 2025Review
- Article
- Reinforcement learning when your life depends on it: A neuro-economic theory of learning.PLoS computational biology · 2024Article
- Learning with sparse reward in a gap junction network inspired by the insect mushroom body.PLoS computational biology · 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
- Prediction error drives associative learning and conditioned behavior in a spiking model of Drosophila larva.iScience · 2024Article
- Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation.Frontiers in computational neuroscience · 2024Article
- Investigating visual navigation using spiking neural network models of the insect mushroom bodies.Frontiers in physiology · 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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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Effective decision making in a changing environment demands that accurate predictions are learned about decision outcomes. In Drosophila, such learning is orchestrated in part by the mushroom body, where dopamine neurons signal reinforcing stimuli to modulate plasticity presynaptic to mushroom body output neurons. Building on previous mushroom body models, in which dopamine neurons signal absolute reinforcement, we propose instead that dopamine neurons signal reinforcement prediction errors by utilising feedback reinforcement predictions from output neurons. We formulate plasticity rules that minimise prediction errors, verify that output neurons learn accurate reinforcement predictions in simulations, and postulate connectivity that explains more physiological observations than an experimentally constrained model. The constrained and augmented models reproduce a broad range of conditioning and blocking experiments, and we demonstrate that the absence of blocking does not imply the absence of prediction error dependent learning. Our results provide five predictions that can be tested using established experimental methods.
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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.