ArticlePLoS computational biology2015
Self-organization in Balanced State Networks by STDP and Homeostatic Plasticity.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 66 citations in OpenAlex.
- Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026Article
- Intrinsic stabilization of synaptic plasticity improves learning and robustness in artificial neural networks.Nature communications · 2026Article
- Representational drift and learning-induced stabilization in the piriform cortex.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Modular architecture confers robustness to damage and facilitates recovery in spiking neural networks modelingFrontiers in neuroscience · 2025Article
- Structural influences on synaptic plasticity: The role of presynaptic connectivity in the emergence of E/I co-tuning.PLoS computational biology · 2024Article
- Synapse-type-specific competitive Hebbian learning forms functional recurrent networks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Heavy-tailed neuronal connectivity arises from Hebbian self-organization.Nature physics · 2024Article
- Skewed distribution of spines is independent of presynaptic transmitter release and synaptic plasticity, and emerges early during adult neurogenesis.Open biology · 2023Article
- Plasticity impairment alters community structure but permits successful pattern separation in a hippocampal network model.Frontiers in cellular neuroscience · 2022Article
- Theoretical foundations of studying criticality in the brain.Network neuroscience (Cambridge, Mass.) · 2022Review
- Local Homeostatic Regulation of the Spectral Radius of Echo-State Networks.Frontiers in computational neuroscience · 2021Article
- Divergent Synaptic Scaling of Miniature EPSCs following Activity Blockade in Dissociated Neuronal Cultures.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Activity Dependent and Independent Determinants of Synaptic Size Diversity.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Unstructured network topology begets order-based representation by privileged neurons.Biological cybernetics · 2020Article
- Spiking time-dependent plasticity leads to efficient coding of predictions.Biological cybernetics · 2020Article
- Neuronal Degeneration Impairs Rhythms Between Connected Microcircuits.Frontiers in computational neuroscience · 2020Article
- Neurodegeneration exposes firing rate dependent effects on oscillation dynamics in computational neural networks.PloS one · 2020Article
- Article
- Topological reinforcement as a principle of modularity emergence in brain networks.Network neuroscience (Cambridge, Mass.) · 2019Article
- Excitable neuronal assemblies with adaptation as a building block of brain circuits for velocity-controlled signal propagation.PLoS computational biology · 2018Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Structural inhomogeneities in synaptic efficacies have a strong impact on population response dynamics of cortical networks and are believed to play an important role in their functioning. However, little is known about how such inhomogeneities could evolve by means of synaptic plasticity. Here we present an adaptive model of a balanced neuronal network that combines two different types of plasticity, STDP and synaptic scaling. The plasticity rules yield both long-tailed distributions of synaptic weights and firing rates. Simultaneously, a highly connected subnetwork of driver neurons with strong synapses emerges. Coincident spiking activity of several driver cells can evoke population bursts and driver cells have similar dynamical properties as leader neurons found experimentally. Our model allows us to observe the delicate interplay between structural and dynamical properties of the emergent inhomogeneities. It is simple, robust to parameter changes and able to explain a multitude of different experimental findings in one basic network.
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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.