ArticleFrontiers in computational neuroscience2020
Emergence of Stable Synaptic Clusters on Dendrites Through Synaptic Rewiring.
Article in Frontiers in computational neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 29 citations in OpenAlex.
- Robust input disentanglement through dendritic calcium-mediated action potentials.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Heterosynaptic plasticity-induced modulation of synapses.The journal of physiological sciences : JPS · 2023Review
- STDP-Driven Rewiring in Spiking Neural Networks under Stimulus-Induced and Spontaneous Activity.Biomimetics (Basel, Switzerland) · 2023Article
- Leveraging dendritic properties to advance machine learning and neuro-inspired computing.ArXiv · 2023Article
- Article
- 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
- Context association in pyramidal neurons through local synaptic plasticity in apical dendrites.Frontiers in neuroscience · 2023Article
- Improving a cortical pyramidal neuron model's classification performance on a real-world ecg dataset by extending inputs.Journal of computational neuroscience · 2022Article
- Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments.Frontiers in neurorobotics · 2022Article
- Diverse processing underlying frequency integration in midbrain neurons of barn owls.PLoS computational biology · 2021Article
- Heterosynaptic Plasticity and the Experience-Dependent Refinement of Developing Neuronal Circuits.Frontiers in neural circuits · 2021Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
The connectivity structure of neuronal networks in cortex is highly dynamic. This ongoing cortical rewiring is assumed to serve important functions for learning and memory. We analyze in this article a model for the self-organization of synaptic inputs onto dendritic branches of pyramidal cells. The model combines a generic stochastic rewiring principle with a simple synaptic plasticity rule that depends on local dendritic activity. In computer simulations, we find that this synaptic rewiring model leads to synaptic clustering, that is, temporally correlated inputs become locally clustered on dendritic branches. This empirical finding is backed up by a theoretical analysis which shows that rewiring in our model favors network configurations with synaptic clustering. We propose that synaptic clustering plays an important role in the organization of computation and memory in cortical circuits: we find that synaptic clustering through the proposed rewiring mechanism can serve as a mechanism to protect memories from subsequent modifications on a medium time scale. Rewiring of synaptic connections onto specific dendritic branches may thus counteract the general problem of catastrophic forgetting in neural networks.
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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.