ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2016
Natural Firing Patterns Imply Low Sensitivity of Synaptic Plasticity to Spike Timing Compared with Firing Rate.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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30 citing papers in PubMed.
- Irregular and bursty neuronal firing extend spike-timing dependent plasticity window to behavioral timescales.iScience · 2026Article
- Two-factor synaptic plasticity enables memory consolidation during neuronal burst firing.PNAS nexus · 2026Article
- Burst firing creates an attractor in synaptic weight dynamics.PLoS computational biology · 2026Article
- Behavioral Timescale Synaptic Plasticity: A Burst in the Field of Learning and Memory.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Article
- Synaptic plasticity rules driving representational shifting in the hippocampus.Nature neuroscience · 2025Article
- How plasticity shapes the formation of neuronal assemblies driven by oscillatory and stochastic inputs.Journal of computational neuroscience · 2025Article
- A spatial code for temporal information is necessary for efficient sensory learning.Science advances · 2025Article
- A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics.eLife · 2023Article
- Meta-learning biologically plausible plasticity rules with random feedback pathways.Nature communications · 2023Article
- Article
- Bayesian reconstruction of memories stored in neural networks from their connectivity.PLoS computational biology · 2023Article
- Synaptic Plasticity Is Predicted by Spatiotemporal Firing Rate Patterns and Robust to In Vivo-like Variability.Biomolecules · 2022Article
- Dopamine and serotonin interplay for valence-based spatial learning.Cell reports · 2022Article
- Distinct place cell dynamics in CA1 and CA3 encode experience in new environments.Nature communications · 2021Article
- Balanced networks under spike-time dependent plasticity.PLoS computational biology · 2021Article
- Online Learning and Memory of Neural Trajectory Replays for Prefrontal Persistent and Dynamic Representations in the Irregular Asynchronous State.Frontiers in neural circuits · 2021Article
- Numerical Simulation: Fluctuation in Background Synaptic Activity Regulates Synaptic Plasticity.Frontiers in systems neuroscience · 2021Article
- Short-term depression and long-term plasticity together tune sensitive range of synaptic plasticity.PLoS computational biology · 2020Article
- Multicoding in neural information transfer suggested by mathematical analysis of the frequency-dependent synaptic plasticity in vivo.Scientific reports · 2020Article
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3 authors.
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Abstract
Synaptic plasticity is sensitive to the rate and the timing of presynaptic and postsynaptic action potentials. In experimental protocols inducing plasticity, the imposed spike trains are typically regular and the relative timing between every presynaptic and postsynaptic spike is fixed. This is at odds with firing patterns observed in the cortex of intact animals, where cells fire irregularly and the timing between presynaptic and postsynaptic spikes varies. To investigate synaptic changes elicited by in vivo-like firing, we used numerical simulations and mathematical analysis of synaptic plasticity models. We found that the influence of spike timing on plasticity is weaker than expected from regular stimulation protocols. Moreover, when neurons fire irregularly, synaptic changes induced by precise spike timing can be equivalently induced by a modest firing rate variation. Our findings bridge the gap between existing results on synaptic plasticity and plasticity occurring in vivo, and challenge the dominant role of spike timing in plasticity. SIGNIFICANCE STATEMENT: Synaptic plasticity, the change in efficacy of connections between neurons, is thought to underlie learning and memory. The dominant paradigm posits that the precise timing of neural action potentials (APs) is central for plasticity induction. This concept is based on experiments using highly regular and stereotyped patterns of APs, in stark contrast with natural neuronal activity. Using synaptic plasticity models, we investigated how irregular, in vivo-like activity shapes synaptic plasticity. We found that synaptic changes induced by precise timing of APs are much weaker than suggested by regular stimulation protocols, and can be equivalently induced by modest variations of the AP rate alone. Our results call into question the dominant role of precise AP timing for plasticity in natural conditions.
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