ArticleScientific reports2018
Robustness of STDP to spike timing jitter.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Striatal endocannabinoids drive one-shot learning.Nature neuroscience · 2026Article
- Irregular and bursty neuronal firing extend spike-timing dependent plasticity window to behavioral timescales.iScience · 2026Article
- Anti-Hebbian plasticity drives sequence learning in striatum.Communications biology · 2024Article
- A stochastic model of hippocampal synaptic plasticity with geometrical readout of enzyme dynamics.eLife · 2023Article
- An information theoretic method to resolve millisecond-scale spike timing precision in a comprehensive motor program.PLoS computational biology · 2023Article
- Synaptic Plasticity Is Predicted by Spatiotemporal Firing Rate Patterns and Robust to In Vivo-like Variability.Biomolecules · 2022Article
- Er81 Transcription Factor Fine-Tunes Striatal Cholinergic Interneuron Activity and Drives Habit Formation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Tonic GABAThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Engrams of Fast Learning.Frontiers in cellular neuroscience · 2020Review
- Lights on Endocannabinoid-Mediated Synaptic Potentiation.Frontiers in molecular neuroscience · 2020Review
- Environmental enrichment shapes striatal spike-timing-dependent plasticity in vivo.Scientific reports · 2019Article
- Dopamine-endocannabinoid interactions mediate spike-timing-dependent potentiation in the striatum.Nature communications · 2018Article
- Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models.Frontiers in computational neuroscience · 2018Review
- Low Cost Interconnected Architecture for the Hardware Spiking Neural Networks.Frontiers in neuroscience · 2018Article
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Authors and funding
5 authors.
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No grant is acknowledged in the PubMed record.
Abstract
In Hebbian plasticity, neural circuits adjust their synaptic weights depending on patterned firing. Spike-timing-dependent plasticity (STDP), a synaptic Hebbian learning rule, relies on the order and timing of the paired activities in pre- and postsynaptic neurons. Classically, in ex vivo experiments, STDP is assessed with deterministic (constant) spike timings and time intervals between successive pairings, thus exhibiting a regularity that differs from biological variability. Hence, STDP emergence from noisy inputs as occurring in in vivo-like firing remains unresolved. Here, we used noisy STDP pairings where the spike timing and/or interval between pairings were jittered. We explored with electrophysiology and mathematical modeling, the impact of jitter on three forms of STDP at corticostriatal synapses: NMDAR-LTP, endocannabinoid-LTD and endocannabinoid-LTP. We found that NMDAR-LTP was highly fragile to jitter, whereas endocannabinoid-plasticity appeared more resistant. When the frequency or number of pairings was increased, NMDAR-LTP became more robust and could be expressed despite strong jittering. Our results identify endocannabinoid-plasticity as a robust form of STDP, whereas the sensitivity to jitter of NMDAR-LTP varies with activity frequency. This provides new insights into the mechanisms at play during the different phases of learning and memory and the emergence of Hebbian plasticity in in vivo-like activity.
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