ArticleCerebral cortex (New York, N.Y. : 1991)2019
Training and Spontaneous Reinforcement of Neuronal Assemblies by Spike Timing Plasticity.
Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Article
- Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026Article
- CA1 Engram Cell Dynamics Before and After Learning.bioRxiv : the preprint server for biology · 2026Article
- Embedding stochastic dynamics of the environment in spontaneous activity by prediction-based plasticity.eLife · 2025Article
- Emergence and maintenance of modularity in neural networks with Hebbian and anti-Hebbian inhibitory STDP.PLoS computational biology · 2025Article
- Timing to be precise? An overview of spike timing-dependent plasticity, brain rhythmicity, and glial cells interplay within neuronal circuits.Molecular psychiatry · 2023Review
- Purely STDP-based assembly dynamics: Stability, learning, overlaps, drift and aging.PLoS computational biology · 2023Article
- Homeostatic control of synaptic rewiring in recurrent networks induces the formation of stable memory engrams.PLoS computational biology · 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
- Memories in a network with excitatory and inhibitory plasticity are encoded in the spiking irregularity.PLoS computational biology · 2021Article
- Modulation of the dynamical state in cortical network models.Current opinion in neurobiology · 2021Review
- The Unexplored Territory of Neural Models: Potential Guides for Exploring the Function of Metabotropic Neuromodulation.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
- Autonomous emergence of connectivity assemblies via spike triplet interactions.PLoS computational biology · 2020Article
- Contextual Integration in Cortical and Convolutional Neural Networks.Frontiers in computational neuroscience · 2020Article
- Relating network connectivity to dynamics: opportunities and challenges for theoretical neuroscience.Current opinion in neurobiology · 2019Review
- Dimensionality in recurrent spiking networks: Global trends in activity and local origins in connectivity.PLoS computational biology · 2019Article
- Emergence of spontaneous assembly activity in developing neural networks without afferent input.PLoS computational biology · 2018Article
- From the statistics of connectivity to the statistics of spike times in neuronal networks.Current opinion in neurobiology · 2017Review
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Authors and funding
2 authors.
Funding
Abstract
The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies of spike timing-dependent plasticity (STDP) have focused on either just pairs of neurons or large-scale simulations. A simple analytic account for how fast spike time correlations affect both microscopic and macroscopic network structure is lacking. We develop a low-dimensional mean field theory for STDP in recurrent networks and show the emergence of assemblies of strongly coupled neurons with shared stimulus preferences. After training, this connectivity is actively reinforced by spike train correlations during the spontaneous dynamics. Furthermore, the stimulus coding by cell assemblies is actively maintained by these internally generated spiking correlations, suggesting a new role for noise correlations in neural coding. Assembly formation has often been associated with firing rate-based plasticity schemes; our theory provides an alternative and complementary framework, where fine temporal correlations and STDP form and actively maintain learned structure in cortical networks.
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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.