ArticleScientific reports2021
Predictive olfactory learning in Drosophila.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 46 citations in OpenAlex.
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- Entirely synthetic memory inception via dual optogenetic activation of sensory and dopaminergic neurons.iScience · 2025Article
- Neuroprotective Effects of Fenugreek Leaf Extract in aCurrent Alzheimer research · 2025Article
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- Roles of feedback and feed-forward networks of dopamine subsystems: insights fromLearning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- 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
- Prediction error drives associative learning and conditioned behavior in a spiking model of Drosophila larva.iScience · 2024Article
- Drosophila larvae form appetitive and aversive associative memory in response to thermal conditioning.PloS one · 2024Article
- A dynamical model ofProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Minimal circuit motifs for second-order conditioning in the insect mushroom body.Frontiers in physiology · 2023Article
- Learning accurate path integration in ring attractor models of the head direction system.eLife · 2022Article
- AThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
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- Insect-Inspired Robots: Bridging Biological and Artificial Systems.Sensors (Basel, Switzerland) · 2021Review
- The Role of Dopamine in Associative Learning in Drosophila: An Updated Unified Model.Neuroscience bulletin · 2021Review
- Collective action or individual choice: Spontaneity and individuality contribute to decision-making in Drosophila.PloS one · 2021Article
- Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Olfactory learning and conditioning in the fruit fly is typically modelled by correlation-based associative synaptic plasticity. It was shown that the conditioning of an odor-evoked response by a shock depends on the connections from Kenyon cells (KC) to mushroom body output neurons (MBONs). Although on the behavioral level conditioning is recognized to be predictive, it remains unclear how MBONs form predictions of aversive or appetitive values (valences) of odors on the circuit level. We present behavioral experiments that are not well explained by associative plasticity between conditioned and unconditioned stimuli, and we suggest two alternative models for how predictions can be formed. In error-driven predictive plasticity, dopaminergic neurons (DANs) represent the error between the predictive odor value and the shock strength. In target-driven predictive plasticity, the DANs represent the target for the predictive MBON activity. Predictive plasticity in KC-to-MBON synapses can also explain trace-conditioning, the valence-dependent sign switch in plasticity, and the observed novelty-familiarity representation. The model offers a framework to dissect MBON circuits and interpret DAN activity during olfactory learning.
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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.