ArticleFrontiers in computational neuroscience2019
Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder.
Article in Frontiers in computational neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Representational drift reflects ongoing balancing of stochastic changes by Hebbian learning.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Resource-dependent heterosynaptic spike-timing-dependent plasticity in recurrent networks with and without synaptic degeneration.Frontiers in computational neuroscience · 2025Article
- Dendritic Spines of Layer 5 Pyramidal Neurons of the Aging Somatosensory Cortex Exhibit Reduced Volumetric Remodeling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Sensory experience steers representational drift in mouse visual cortex.Nature communications · 2024Article
- Linking spontaneous and stimulated spine dynamics.Communications biology · 2023Article
- A stable sensory map emerges from a dynamic equilibrium of neurons with unstable tuning properties.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Adaptive control of synaptic plasticity integrates micro- and macroscopic network function.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2023Review
- Unraveling the mysteries of dendritic spine dynamics: Five key principles shaping memory and cognition.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2023Article
- Weight dependence in BCM leads to adjustable synaptic competition.Journal of computational neuroscience · 2022Article
- Drifting assemblies for persistent memory: Neuron transitions and unsupervised compensation.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Memory retention in pyramidal neurons: a unified model of energy-based homo and heterosynaptic plasticity with homeostasis.Cognitive neurodynamics · 2021Article
- Spine dynamics in the brain, mental disorders and artificial neural networks.Nature reviews. Neuroscience · 2021Review
- Homeostatic mechanisms regulate distinct aspects of cortical circuit dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Activity Dependent and Independent Determinants of Synaptic Size Diversity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Intrinsic Spine Dynamics Are Critical for Recurrent Network Learning in Models With and Without Autism Spectrum Disorder.Frontiers in computational neuroscience · 2019Article
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4 authors.
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Abstract
It is often assumed that Hebbian synaptic plasticity forms a cell assembly, a mutually interacting group of neurons that encodes memory. However, in recurrently connected networks with pure Hebbian plasticity, cell assemblies typically diverge or fade under ongoing changes of synaptic strength. Previously assumed mechanisms that stabilize cell assemblies do not robustly reproduce the experimentally reported unimodal and long-tailed distribution of synaptic strengths. Here, we show that augmenting Hebbian plasticity with experimentally observed intrinsic spine dynamics can stabilize cell assemblies and reproduce the distribution of synaptic strengths. Moreover, we posit that strong intrinsic spine dynamics impair learning performance. Our theory explains how excessively strong spine dynamics, experimentally observed in several animal models of autism spectrum disorder, impair learning associations in the brain.
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