ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Heterosynaptic plasticity prevents runaway synaptic dynamics.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- Population sparseness determines strength of Hebbian plasticity for maximal memory lifetime in associative networks.PLoS computational biology · 2026Article
- Dendritic heterosynaptic plasticity arises from calcium-based input learning.Communications biology · 2026Article
- β-Adrenergic Receptor Activation Modulates the Induction of Complex Spike-Dependent LTP by Regulating Multiple Forms of Heterosynaptic Plasticity.Hippocampus · 2025Article
- Article
- A synapse-specific refractory period for plasticity at individual dendritic spines.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Resource-dependent heterosynaptic spike-timing-dependent plasticity in recurrent networks with and without synaptic degeneration.Frontiers in computational neuroscience · 2025Article
- Python/NEURON code for simulating biophysically realistic thalamocortical dynamics during sleep.Software impacts · 2024Article
- Frequency-domain analysis of membrane polarization in two-compartment model neurons with weak alternating electric fields.Cognitive neurodynamics · 2024Article
- Plasticity of Response Properties of Mouse Visual Cortex Neurons Induced by Optogenetic Tetanization In Vivo.Current issues in molecular biology · 2024Article
- Building a realistic, scalable memory model with independent engrams using a homeostatic mechanism.Frontiers in neuroinformatics · 2024Article
- Heterosynaptic plasticity-induced modulation of synapses.The journal of physiological sciences : JPS · 2023Review
- Linking spontaneous and stimulated spine dynamics.Communications biology · 2023Article
- Mental stress recognition on the fly using neuroplasticity spiking neural networks.Scientific reports · 2023Article
- Article
- Interhemispheric cortical long-term potentiation in the auditory cortex requires heterosynaptic activation of entorhinal projection.iScience · 2023Article
- Stability and learning in excitatory synapses by nonlinear inhibitory plasticity.PLoS computational biology · 2022Article
- Synaptic balancing: A biologically plausible local learning rule that provably increases neural network noise robustness without sacrificing task performance.PLoS computational biology · 2022Article
- Role of Sleep in Formation of Relational Associative Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Natural-gradient learning for spiking neurons.eLife · 2022Article
- Learning and replaying spatiotemporal sequences: A replication study.Frontiers in integrative neuroscience · 2022Article
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6 authors.
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Abstract
Spike timing-dependent plasticity (STDP) and other conventional Hebbian-type plasticity rules are prone to produce runaway dynamics of synaptic weights. Once potentiated, a synapse would have higher probability to lead to spikes and thus to be further potentiated, but once depressed, a synapse would tend to be further depressed. The runaway synaptic dynamics can be prevented by precisely balancing STDP rules for potentiation and depression; however, experimental evidence shows a great variety of potentiation and depression windows and magnitudes. Here we show that modifications of synapses to layer 2/3 pyramidal neurons from rat visual and auditory cortices in slices can be induced by intracellular tetanization: bursts of postsynaptic spikes without presynaptic stimulation. Induction of these heterosynaptic changes depended on the rise of intracellular calcium, and their direction and magnitude correlated with initial state of release mechanisms. We suggest that this type of plasticity serves as a mechanism that stabilizes the distribution of synaptic weights and prevents their runaway dynamics. To test this hypothesis, we develop a cortical neuron model implementing both homosynaptic (STDP) and heterosynaptic plasticity with properties matching the experimental data. We find that heterosynaptic plasticity effectively prevented runaway dynamics for the tested range of STDP and input parameters. Synaptic weights, although shifted from the original, remained normally distributed and nonsaturated. Our study presents a biophysically constrained model of how the interaction of different forms of plasticity--Hebbian and heterosynaptic--may prevent runaway synaptic dynamics and keep synaptic weights unsaturated and thus capable of further plastic changes and formation of new memories.
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