ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
A computational framework for understanding decision making through integration of basic learning rules.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- Data-Constrained Recurrent Network Neural Model Uncovers the Circuit Mechanism of Olfactory OFF Responses.bioRxiv : the preprint server for biology · 2026Article
- Cognition from genes to ecology: individual differences incognition and its potential role in a social network.Animal cognition · 2025Review
- Plasticity in inhibitory networks improves pattern separation in early olfactory processing.Communications biology · 2025Article
- How bumblebees manage conflicting information seen on arrival and departure from flowers.Animal cognition · 2025Article
- Reinforcement expectation in the honeybee (Learning & memory (Cold Spring Harbor, N.Y.) · 2024Article
- Beyond prediction error: 25 years of modeling the associations formed in the insect mushroom body.Learning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment.PLoS computational biology · 2023Article
- Article
- Heritable Cognitive Phenotypes Influence Appetitive Learning but not Extinction in Honey Bees.Annals of the Entomological Society of America · 2021Article
- Prior experience conditionally inhibits the expression of new learning in Drosophila.Current biology : CB · 2021Article
- Learning with reinforcement prediction errors in a model of the Drosophila mushroom body.Nature communications · 2021Article
- Honeybees solve a multi-comparison ranking task by probability matching.Proceedings. Biological sciences · 2020Article
- Rapid Bayesian learning in the mammalian olfactory system.Nature communications · 2020Article
- A Multiscale Review of Behavioral Variation in Collective Foraging Behavior in Honey Bees.Insects · 2019Review
- Individual differences in learning and biogenic amine levels influence the behavioural division between foraging honeybee scouts and recruits.The Journal of animal ecology · 2019Article
- Abstract concept learning in a simple neural network inspired by the insect brain.PLoS computational biology · 2018Article
- Rhythmogenesis evolves as a consequence of long-term plasticity of inhibitory synapses.Scientific reports · 2018Article
- Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in theFrontiers in computational neuroscience · 2018Article
- Relationship between brain plasticity, learning and foraging performance in honey bees.PloS one · 2018Article
- Ants' navigation in an unfamiliar environment is influenced by their experience of a familiar route.Scientific reports · 2017Article
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Authors and funding
3 authors.
Funding
Abstract
Nonassociative and associative learning rules simultaneously modify neural circuits. However, it remains unclear how these forms of plasticity interact to produce conditioned responses. Here we integrate nonassociative and associative conditioning within a uniform model of olfactory learning in the honeybee. Honeybees show a fairly abrupt increase in response after a number of conditioning trials. The occurrence of this abrupt change takes many more trials after exposure to nonassociative trials than just using associative conditioning. We found that the interaction of unsupervised and supervised learning rules is critical for explaining latent inhibition phenomenon. Associative conditioning combined with the mutual inhibition between the output neurons produces an abrupt increase in performance despite smooth changes of the synaptic weights. The results show that an integrated set of learning rules implemented using fan-out connectivities together with neural inhibition can explain the broad range of experimental data on learning behaviors.
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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.