ArticleScientific reports2017
Branching morphology determines signal propagation dynamics in neurons.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Iron Deficiency Impairs Mitochondrial Energetics and Early Axonal Growth and Branching in Developing Hippocampal Neurons.The Journal of nutrition · 2026Article
- Circuit architecture and axonal branching in the efferent auditory system.Hearing research · 2026Review
- Interrogating functional connectivity of in vitro neural glia tissue model modulated through integrative control of matrix stiffness and a neurotrophic factor.Biomaterials · 2026Article
- The Axon as a Self-Modifying Computational System: Autonomous Inference, Adaptive Propagation, and AI-Enabled Mechanistic Insight.International journal of molecular sciences · 2026Review
- Dynamics of excitability in axonal trees.Biophysical journal · 2026Article
- Axon collateralization and focal myelin dystrophy alter action potential propagation in multicompartment pyramidal neuron models.PLoS computational biology · 2025Article
- Neuronal branching in stem cell models of mitochondrial and neurological diseases.Stem cells (Dayton, Ohio) · 2025Review
- Iron Deficiency Impairs Mitochondrial Energetics and Early Axonal Growth and Branching in Developing Hippocampal Neurons.bioRxiv : the preprint server for biology · 2025Article
- Article
- Computational Generation of Long-range Axonal Morphologies.Neuroinformatics · 2025Article
- Spike transmission failures in axons from cortical neuronsiScience · 2024Article
- Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice.Neuroinformatics · 2024Article
- Spike transmission failures in axons from mouse cortical pyramidal neurons in vivo.bioRxiv : the preprint server for biology · 2024Article
- Neuronal branching is increasingly asymmetric near synapses, potentially enabling plasticity while minimizing energy dissipation and conduction time.Journal of the Royal Society, Interface · 2023Article
- Does the Brain Function as a Quantum Phase Computer Using Phase Ternary Computation?Frontiers in physiology · 2021Review
- Axonal Tree Morphology and Signal Propagation Dynamics Improve Interneuron Classification.Neuroinformatics · 2020Article
- Adult-Born Hippocampal Neurons Undergo Extended Development and Are Morphologically Distinct from Neonatally-Born Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Review
- Abnormal Reinnervation of Denervated Areas Following Nerve Injury Facilitates Neuropathic Pain.Cells · 2020Article
- Plasticity in striatal dopamine release is governed by release-independent depression and the dopamine transporter.Nature communications · 2019Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational modeling of signal propagation in neurons is critical to our understanding of basic principles underlying brain organization and activity. Exploring these models is used to address basic neuroscience questions as well as to gain insights for clinical applications. The seminal Hodgkin Huxley model is a common theoretical framework to study brain activity. It was mainly used to investigate the electrochemical and physical properties of neurons. The influence of neuronal structure on activity patterns was explored, however, the rich dynamics observed in neurons with different morphologies is not yet fully understood. Here, we study signal propagation in fundamental building blocks of neuronal branching trees, unbranched and branched axons. We show how these simple axonal elements can code information on spike trains, and how asymmetric responses can emerge in axonal branching points. This asymmetric phenomenon has been observed experimentally but until now lacked theoretical characterization. Together, our results suggest that axonal morphological parameters are instrumental in activity modulation and information coding. The insights gained from this work lay the ground for better understanding the interplay between function and form in real-world complex systems. It may also supply theoretical basis for the development of novel therapeutic approaches to damaged nervous systems.
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