ArticlePLoS computational biology2008
Synaptic learning rules and sparse coding in a model sensory system.
Article in PLoS computational biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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Who cites it
33 citing papers in PubMed.
- Plasticity in inhibitory networks improves pattern separation in early olfactory processing.Communications biology · 2025Article
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- Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method.Frontiers in computational neuroscience · 2023Article
- Geometry of spiking patterns in early visual cortex: a topological data analytic approach.Journal of the Royal Society, Interface · 2022Article
- Cortical Motion Perception Emerges from Dimensionality Reduction with Evolved Spike-Timing-Dependent Plasticity Rules.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Article
- Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations.Materials (Basel, Switzerland) · 2019Review
- Brain evolution in social insects: advocating for the comparative approach.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019Review
- Synaptic E-I Balance Underlies Efficient Neural Coding.Frontiers in neuroscience · 2018Review
- Experience during early adulthood shapes the learning capacities and the number of synaptic boutons in the mushroom bodies of honey bees (Learning & memory (Cold Spring Harbor, N.Y.) · 2017Article
- Classification of odorants across layers in locust olfactory pathway.Journal of neurophysiology · 2016Article
- Feed-Forward versus Feedback Inhibition in a Basic Olfactory Circuit.PLoS computational biology · 2015Article
- Role of intraglomerular circuits in shaping temporally structured responses to naturalistic inhalation-driven sensory input to the olfactory bulb.Journal of neurophysiology · 2015Article
- Learning structure of sensory inputs with synaptic plasticity leads to interference.Frontiers in computational neuroscience · 2015Article
- Plasticity in memristive devices for spiking neural networks.Frontiers in neuroscience · 2015Review
- Homeostatic role of heterosynaptic plasticity: models and experiments.Frontiers in computational neuroscience · 2015Review
- It takes two-coincidence coding within the dual olfactory pathway of the honeybee.Frontiers in physiology · 2015Article
- Sparse coding and lateral inhibition arising from balanced and unbalanced dendrodendritic excitation and inhibition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014Article
- Heterosynaptic plasticity: multiple mechanisms and multiple roles.The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry · 2014Review
- Article
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Authors and funding
5 authors.
Funding
Abstract
Neural circuits exploit numerous strategies for encoding information. Although the functional significance of individual coding mechanisms has been investigated, ways in which multiple mechanisms interact and integrate are not well understood. The locust olfactory system, in which dense, transiently synchronized spike trains across ensembles of antenna lobe (AL) neurons are transformed into a sparse representation in the mushroom body (MB; a region associated with memory), provides a well-studied preparation for investigating the interaction of multiple coding mechanisms. Recordings made in vivo from the insect MB demonstrated highly specific responses to odors in Kenyon cells (KCs). Typically, only a few KCs from the recorded population of neurons responded reliably when a specific odor was presented. Different odors induced responses in different KCs. Here, we explored with a biologically plausible model the possibility that a form of plasticity may control and tune synaptic weights of inputs to the mushroom body to ensure the specificity of KCs' responses to familiar or meaningful odors. We found that plasticity at the synapses between the AL and the MB efficiently regulated the delicate tuning necessary to selectively filter the intense AL oscillatory output and condense it to a sparse representation in the MB. Activity-dependent plasticity drove the observed specificity, reliability, and expected persistence of odor representations, suggesting a role for plasticity in information processing and making a testable prediction about synaptic plasticity at AL-MB synapses.
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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.