ArticleJournal of computational neuroscience2012
A model of non-elemental olfactory learning in Drosophila.
Article in Journal of computational neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 61 citations in OpenAlex.
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- 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
- A lightweight data-driven spiking neuronal network model ofFrontiers in neuroscience · 2024Article
- Minimal circuit motifs for second-order conditioning in the insect mushroom body.Frontiers in physiology · 2023Article
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- Fruit flies can learn non-elemental olfactory discriminations.Proceedings. Biological sciences · 2020Article
- A spiking neural program for sensorimotor control during foraging in flying insects.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Adaptive integrate-and-fire model reproduces the dynamics of olfactory receptor neuron responses in a moth.Journal of the Royal Society, Interface · 2019Article
- Olfactory learning without the mushroom bodies: Spiking neural network models of the honeybee lateral antennal lobe tract reveal its capacities in odour memory tasks of varied complexities.PLoS computational biology · 2017Article
- Behavioral Evidence for Enhanced Processing of the Minor Component of Binary Odor Mixtures in LarvalFrontiers in psychology · 2017Article
- Motor-Skill Learning in an Insect Inspired Neuro-Computational Control System.Frontiers in neurorobotics · 2017Article
- Using an Insect Mushroom Body Circuit to Encode Route Memory in Complex Natural Environments.PLoS computational biology · 2016Article
- Computational models to understand decision making and pattern recognition in the insect brain.Current opinion in insect science · 2014Article
- Rapid learning dynamics in individual honeybees during classical conditioning.Frontiers in behavioral neuroscience · 2014Article
- Comparative chemosensory cognition.Frontiers in behavioral neuroscience · 2014Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pathways for olfactory learning in the fruitfly Drosophila have been extensively investigated, with mounting evidence that that the mushroom body is the site of the olfactory associative memory trace (Heisenberg, Nature 4:266-275, 2003; Gerber et al., Curr Opin Neurobiol 14:737-744, 2004). Heisenberg's description of the mushroom body as an associative learning device is a testable hypothesis that relates the mushroom body's function to its neural structure and input and output pathways. Here, we formalise a relatively complete computational model of the network interactions in the neural circuitry of the insect antennal lobe and mushroom body, to investigate their role in olfactory learning, and specifically, how this might support learning of complex (non-elemental; Giurfa, Curr Opin Neuroethol 13:726-735, 2003) discriminations involving compound stimuli. We find that the circuit is able to learn all tested non-elemental paradigms. This does not crucially depend on the number of Kenyon cells but rather on the connection strength of projection neurons to Kenyon cells, such that the Kenyon cells require a certain number of coincident inputs to fire. As a consequence, the encoding in the mushroom body resembles a unique cue or configural representation of compound stimuli (Pearce, Psychol Rev 101:587-607, 1994). Learning of some conditions, particularly negative patterning, is strongly affected by the assumption of normalisation effects occurring at the level of the antennal lobe. Surprisingly, the learning capacity of this circuit, which is a simplification of the actual circuitry in the fly, seems to be greater than the capacity expressed by the fly in shock-odour association experiments (Young et al. 2010).
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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.