ArticlePLoS computational biology2022
Stability and learning in excitatory synapses by nonlinear inhibitory plasticity.
Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Cell-Type-Specific Synaptic Scaling Mechanisms Differentially Contribute to Associative Learning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Homeostatic Plasticity Enables Stable yet Tunable Neuronal Assemblies.bioRxiv : the preprint server for biology · 2026Article
- Modular inhibitory coding in binary networks.Frontiers in network physiology · 2026Article
- O-GlcNAc transferase controls excitatory synapse development and AMPA receptor expression in an activity-dependent manner.Frontiers in cellular neuroscience · 2026Article
- Untangling stability and gain modulation in cortical circuits with multiple interneuron classes.eLife · 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
- Enhancement of Motor Learning and Corticospinal Excitability: The Role of Electroacupuncture and Motor Training in Healthy Volunteers.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks.Nature neuroscience · 2024Article
- Artificial sensory system based on memristive devices.Exploration (Beijing, China) · 2024Review
- Calcium Homeostasis, Transporters, and Blockers in Health and Diseases of the Cardiovascular System.International journal of molecular sciences · 2023Review
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Authors and funding
2 authors.
Funding
Abstract
Synaptic changes are hypothesized to underlie learning and memory formation in the brain. But Hebbian synaptic plasticity of excitatory synapses on its own is unstable, leading to either unlimited growth of synaptic strengths or silencing of neuronal activity without additional homeostatic mechanisms. To control excitatory synaptic strengths, we propose a novel form of synaptic plasticity at inhibitory synapses. Using computational modeling, we suggest two key features of inhibitory plasticity, dominance of inhibition over excitation and a nonlinear dependence on the firing rate of postsynaptic excitatory neurons whereby inhibitory synaptic strengths change with the same sign (potentiate or depress) as excitatory synaptic strengths. We demonstrate that the stable synaptic strengths realized by this novel inhibitory plasticity model affects excitatory/inhibitory weight ratios in agreement with experimental results. Applying a disinhibitory signal can gate plasticity and lead to the generation of receptive fields and strong bidirectional connectivity in a recurrent network. Hence, a novel form of nonlinear inhibitory plasticity can simultaneously stabilize excitatory synaptic strengths and enable learning upon disinhibition.
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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.