ArticleFrontiers in neuroanatomy2016
Structural Plasticity, Effectual Connectivity, and Memory in Cortex.
Article in Frontiers in neuroanatomy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.PLoS computational biology · 2026Article
- Constrained Hebbian learning supports efficient representational allocation under structural constraints.Frontiers in computational neuroscience · 2026Article
- Locality and weight sharing shape Hebbian principal-component learning in biologically constrained visual models.Frontiers in computational neuroscience · 2026Article
- Spiking representation learning for associative memories.Frontiers in neuroscience · 2024Article
- Homeostatic control of synaptic rewiring in recurrent networks induces the formation of stable memory engrams.PLoS computational biology · 2022Article
- Silent Synapses in Cocaine-Associated Memory and Beyond.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Review
- How Dendrites Affect Online Recognition Memory.PLoS computational biology · 2019Article
- A Theoretical Framework to Derive Simple, Firing-Rate-Dependent Mathematical Models of Synaptic Plasticity.Frontiers in computational neuroscience · 2019Article
- How Memory Conforms to Brain Development.Frontiers in computational neuroscience · 2019Article
- The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition.Frontiers in systems neuroscience · 2018Article
- Making Memories: Why Time Matters.Frontiers in human neuroscience · 2018Review
- Pre-processing and transfer entropy measures in motor neurons controlling limb movements.Journal of computational neuroscience · 2017Article
- Regionally Specific Regulation of Sensorimotor Network Connectivity Following Tactile Improvement.Neural plasticity · 2017Article
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Authors and funding
2 authors.
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Abstract
Learning and memory is commonly attributed to the modification of synaptic strengths in neuronal networks. More recent experiments have also revealed a major role of structural plasticity including elimination and regeneration of synapses, growth and retraction of dendritic spines, and remodeling of axons and dendrites. Here we work out the idea that one likely function of structural plasticity is to increase "effectual connectivity" in order to improve the capacity of sparsely connected networks to store Hebbian cell assemblies that are supposed to represent memories. For this we define effectual connectivity as the fraction of synaptically linked neuron pairs within a cell assembly representing a memory. We show by theory and numerical simulation the close links between effectual connectivity and both information storage capacity of neural networks and effective connectivity as commonly employed in functional brain imaging and connectome analysis. Then, by applying our model to a recently proposed memory model, we can give improved estimates on the number of cell assemblies that can be stored in a cortical macrocolumn assuming realistic connectivity. Finally, we derive a simplified model of structural plasticity to enable large scale simulation of memory phenomena, and apply our model to link ongoing adult structural plasticity to recent behavioral data on the spacing effect of learning.
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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.