ArticleFrontiers in computational neuroscience2018
Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the
Article in Frontiers in computational neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 26 citations in OpenAlex.
- Protocol for dissecting and excising the brain of the Manduca sexta (Lepidoptera: Sphingidae) moth.Journal of insect science (Online) · 2026Article
- Neuron synchronization analyzed through spatial-temporal attention.Frontiers in computational neuroscience · 2025Article
- Beyond prediction error: 25 years of modeling the associations formed in the insect mushroom body.Learning & memory (Cold Spring Harbor, N.Y.) · 2024Review
- Emergent behaviour and neural dynamics in artificial agents tracking odour plumes.Nature machine intelligence · 2023Article
- Pruning deep neural networks generates a sparse, bio-inspired nonlinear controller for insect flight.PLoS computational biology · 2022Article
- Article
- Built to Last: Functional and Structural Mechanisms in the Moth Olfactory Network Mitigate Effects of Neural Injury.Brain sciences · 2021Article
- A Spike Time-Dependent Online Learning Algorithm Derived From Biological Olfaction.Frontiers in neuroscience · 2019Article
- Nonlinear control of networked dynamical systems.IEEE transactions on network science and engineeringArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The insect olfactory system, which includes the antennal lobe (AL), mushroom body (MB), and ancillary structures, is a relatively simple neural system capable of learning. Its structural features, which are widespread in biological neural systems, process olfactory stimuli through a cascade of networks where large dimension shifts occur from stage to stage and where sparsity and randomness play a critical role in coding. Learning is partly enabled by a neuromodulatory reward mechanism of octopamine stimulation of the AL, whose increased activity induces synaptic weight updates in the MB through Hebbian plasticity. Enforced sparsity in the MB focuses Hebbian growth on neurons that are the most important for the representation of the learned odor. Based upon current biophysical knowledge, we have constructed an end-to-end computational firing-rate model of the
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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.