ArticleNature communications2017
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level.
Article in Nature communications, 2017. 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, 105 citations in OpenAlex.
- Tuft Dendrite Spikes Are Accompanied by Selective Input From Distinct Functional Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Tuft dendrite spikes are accompanied by selective input from distinct functional networks.bioRxiv : the preprint server for biology · 2026Article
- Dendritic heterosynaptic plasticity arises from calcium-based input learning.Communications biology · 2026Article
- Transient boosting of action potential backpropagation for few-shot temporal pattern learning.PLoS computational biology · 2025Article
- 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
- Nonlinear Dendritic Integration Supports Up-Down States in Single Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Concept transfer of synaptic diversity from biological to artificial neural networks.Nature communications · 2025Article
- Distinct synaptic plasticity rules operate across dendritic compartments in vivo during learning.Science (New York, N.Y.) · 2025Article
- Circuit-level modeling of prediction error computation of multi-dimensional features in voluntary actions.Frontiers in computational neuroscience · 2025Article
- Co-dependent excitatory and inhibitory plasticity accounts for quick, stable and long-lasting memories in biological networks.Nature neuroscience · 2024Article
- Article
- Temporal dendritic heterogeneity incorporated with spiking neural networks for learning multi-timescale dynamics.Nature communications · 2024Article
- Article
- The impact of Hodgkin-Huxley models on dendritic research.The Journal of physiology · 2023Review
- Leveraging dendritic properties to advance machine learning and neuro-inspired computing.ArXiv · 2023Article
- Introducing the Dendrify framework for incorporating dendrites to spiking neural networks.Nature communications · 2023Article
- Altered integration of excitatory inputs onto the basal dendrites of layer 5 pyramidal neurons in a mouse model of Fragile X syndrome.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Emerging memristive neurons for neuromorphic computing and sensing.Science and technology of advanced materials · 2023Review
- Context association in pyramidal neurons through local synaptic plasticity in apical dendrites.Frontiers in neuroscience · 2023Article
- An Algorithm Based on a Cable-Nernst Planck Model Predicting Synaptic Activity throughout the Dendritic Arbor with Micron Specificity.Neuroinformatics · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Synaptic plasticity is thought to be the principal neuronal mechanism underlying learning. Models of plastic networks typically combine point neurons with spike-timing-dependent plasticity (STDP) as the learning rule. However, a point neuron does not capture the local non-linear processing of synaptic inputs allowed for by dendrites. Furthermore, experimental evidence suggests that STDP is not the only learning rule available to neurons. By implementing biophysically realistic neuron models, we study how dendrites enable multiple synaptic plasticity mechanisms to coexist in a single cell. In these models, we compare the conditions for STDP and for synaptic strengthening by local dendritic spikes. We also explore how the connectivity between two cells is affected by these plasticity rules and by different synaptic distributions. Finally, we show that how memory retention during associative learning can be prolonged in networks of neurons by including dendrites.Synaptic plasticity is the neuronal mechanism underlying learning. Here the authors construct biophysical models of pyramidal neurons that reproduce observed plasticity gradients along the dendrite and show that dendritic spike dependent LTP which is predominant in distal sections can prolong memory retention.
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Registered trials
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.