ArticleFrontiers in neuroinformatics2013
Self-referential forces are sufficient to explain different dendritic morphologies.
Article in Frontiers in neuroinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Neuronal branching is increasingly asymmetric near synapses, potentially enabling plasticity while minimizing energy dissipation and conduction time.Journal of the Royal Society, Interface · 2023Article
- Theory of branching morphogenesis by local interactions and global guidance.Nature communications · 2021Article
- A Systematic Evaluation of Interneuron Morphology Representations for Cell Type Discrimination.Neuroinformatics · 2020Article
- A generative growth model for thalamocortical axonal branching in primary visual cortex.PLoS computational biology · 2020Article
- Generation of Granule Cell Dendritic Morphologies by Estimating the Spatial Heterogeneity of Dendritic Branching.Frontiers in computational neuroscience · 2020Article
- Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons.PLoS computational biology · 2019Article
- Precise segmentation of densely interweaving neuron clusters using G-Cut.Nature communications · 2019Article
- Point Process Filtering Estimates of Branching Rate for Neural Dendritic Morphology Generation.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2018Article
- Linking macroscopic with microscopic neuroanatomy using synthetic neuronal populations.PLoS computational biology · 2014Article
- Branching angles of pyramidal cell dendrites follow common geometrical design principles in different cortical areas.Scientific reports · 2014Article
- Statistical analysis and data mining of digital reconstructions of dendritic morphologies.Frontiers in neuroanatomy · 2014Article
- Context-aware modeling of neuronal morphologies.Frontiers in neuroanatomy · 2014Article
- Growing a garden of neurons.Frontiers in neuroinformatics · 2013Article
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3 authors.
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Abstract
Dendritic morphology constrains brain activity, as it determines first which neuronal circuits are possible and second which dendritic computations can be performed over a neuron's inputs. It is known that a range of chemical cues can influence the final shape of dendrites during development. Here, we investigate the extent to which self-referential influences, cues generated by the neuron itself, might influence morphology. To this end, we developed a phenomenological model and algorithm to generate virtual morphologies, which are then compared to experimentally reconstructed morphologies. In the model, branching probability follows a Galton-Watson process, while the geometry is determined by "homotypic forces" exerting influence on the direction of random growth in a constrained space. We model three such homotypic forces, namely an inertial force based on membrane stiffness, a soma-oriented tropism, and a force of self-avoidance, as directional biases in the growth algorithm. With computer simulations we explored how each bias shapes neuronal morphologies. We show that based on these principles, we can generate realistic morphologies of several distinct neuronal types. We discuss the extent to which homotypic forces might influence real dendritic morphologies, and speculate about the influence of other environmental cues on neuronal shape and circuitry.
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