ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2017
Detailed Dendritic Excitatory/Inhibitory Balance through Heterosynaptic Spike-Timing-Dependent Plasticity.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed.
- Dendritic heterosynaptic plasticity arises from calcium-based input learning.Communications biology · 2026Article
- Plastic Arbor: A modern simulation framework for synaptic plasticity-From single synapses to networks of morphological neurons.PLoS computational biology · 2026Article
- Article
- Nonlinear Dendritic Integration Supports Up-Down States in Single Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks.Nature neuroscience · 2024Article
- Making time and space for calcium control of neuron activity.Current opinion in neurobiology · 2023Review
- Stability and learning in excitatory synapses by nonlinear inhibitory plasticity.PLoS computational biology · 2022Article
- Assessing Local and Branch-specific Activity in Dendrites.Neuroscience · 2022Article
- Emergence of synaptic organization and computation in dendrites.Neuroforum · 2022Review
- Differential Hebbian learning with time-continuous signals for active noise reduction.PloS one · 2022Article
- A Model of the Early Visual System Based on Parallel Spike-Sequence Detection, Showing Orientation Selectivity.Biology · 2021Article
- Heterosynaptic Plasticity Determines the Set Point for Cortical Excitatory-Inhibitory Balance.Neuron · 2020Article
- Morphine Differentially Alters the Synaptic and Intrinsic Properties of D1R- and D2R-Expressing Medium Spiny Neurons in the Nucleus Accumbens.Frontiers in synaptic neuroscience · 2019Article
- A Neuro-Inspired System for Online Learning and Recognition of Parallel Spike Trains, Based on Spike Latency, and Heterosynaptic STDP.Frontiers in neuroscience · 2018Article
- Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models.Frontiers in computational neuroscience · 2018Review
- Article
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2 authors.
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Abstract
The balance between excitatory and inhibitory inputs is a key feature of cortical dynamics. Such a balance is arguably preserved in dendritic branches, yet its underlying mechanism and functional roles remain unknown. In this study, we developed computational models of heterosynaptic spike-timing-dependent plasticity (STDP) to show that the excitatory/inhibitory balance in dendritic branches is robustly achieved through heterosynaptic interactions between excitatory and inhibitory synapses. The model reproduces key features of experimental heterosynaptic STDP well, and provides analytical insights. Furthermore, heterosynaptic STDP explains how the maturation of inhibitory neurons modulates the selectivity of excitatory neurons for binocular matching in the critical period plasticity. The model also provides an alternative explanation for the potential mechanism underlying the somatic detailed balance that is commonly associated with inhibitory STDP. Our results propose heterosynaptic STDP as a critical factor in synaptic organization and the resultant dendritic computation.
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