ArticlePLoS computational biology2012
Neurogenesis drives stimulus decorrelation in a model of the olfactory bulb.
Article in PLoS computational biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- How the olfactory bulb maintains stable odor manifolds amid adaptation and representational drift.bioRxiv : the preprint server for biology · 2026Article
- Article
- Signaling mechanisms underlying activity-dependent integration of adult-born neurons in the mouse olfactory bulb.Genesis (New York, N.Y. : 2000) · 2024Review
- Structural spine plasticity: Learning and forgetting of odor-specific subnetworks in the olfactory bulb.PLoS computational biology · 2022Article
- Connectivity and dynamics in the olfactory bulb.PLoS computational biology · 2022Article
- Ion-channel regulation of response decorrelation in a heterogeneous multi-scale model of the dentate gyrus.Current research in neurobiology · 2021Article
- Predicting brain organization with a computational model: 50-year perspective on lateral inhibition and oscillatory gating by dendrodendritic synapses.Journal of neurophysiology · 2020Review
- Rapid online learning and robust recall in a neuromorphic olfactory circuit.Nature machine intelligence · 2020Article
- Disparate forms of heterogeneities and interactions among them drive channel decorrelation in the dentate gyrus: Degeneracy and dominance.Hippocampus · 2019Article
- Top-down inputs drive neuronal network rewiring and context-enhanced sensory processing in olfaction.PLoS computational biology · 2019Article
- ParvalbuminNature communications · 2018Article
- Synchronization by uncorrelated noise: interacting rhythms in interconnected oscillator networks.Scientific reports · 2018Article
- The Physiological Foresight in Freeman's Work: Predictions and Verifications.Journal of consciousness studies : controversies in science & the humanities · 2018Article
- Article
- Sparse synaptic connectivity is required for decorrelation and pattern separation in feedforward networks.Nature communications · 2017Article
- Persistent Structural Plasticity Optimizes Sensory Information Processing in the Olfactory Bulb.Neuron · 2016Article
- Computational Modeling of Adult Neurogenesis.Cold Spring Harbor perspectives in biology · 2016Review
- Neuronal pattern separation in the olfactory bulb improves odor discrimination learning.Nature neuroscience · 2015Article
- Intermediate intrinsic diversity enhances neural population coding.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
- The adaptive significance of adult neurogenesis: an integrative approach.Frontiers in neuroanatomy · 2013Article
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3 authors.
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Abstract
The reshaping and decorrelation of similar activity patterns by neuronal networks can enhance their discriminability, storage, and retrieval. How can such networks learn to decorrelate new complex patterns, as they arise in the olfactory system? Using a computational network model for the dominant neural populations of the olfactory bulb we show that fundamental aspects of the adult neurogenesis observed in the olfactory bulb--the persistent addition of new inhibitory granule cells to the network, their activity-dependent survival, and the reciprocal character of their synapses with the principal mitral cells--are sufficient to restructure the network and to alter its encoding of odor stimuli adaptively so as to reduce the correlations between the bulbar representations of similar stimuli. The decorrelation is quite robust with respect to various types of perturbations of the reciprocity. The model parsimoniously captures the experimentally observed role of neurogenesis in perceptual learning and the enhanced response of young granule cells to novel stimuli. Moreover, it makes specific predictions for the type of odor enrichment that should be effective in enhancing the ability of animals to discriminate similar odor mixtures.
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