ArticleFrontiers in computational neuroscience2015
Modeling the Influence of Ion Channels on Neuron Dynamics in Drosophila.
Article in Frontiers in computational neuroscience, 2015. 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.
- Morphological details contribute to neuronal response variability within the same cell type.Frontiers in cellular neuroscience · 2026Article
- Deficiency in transmitter release triggers homeostatic transcriptional changes that increase presynaptic excitability.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The Roles of Potassium and Calcium Currents in the Bistable Firing Transition.Brain sciences · 2023Article
- The Role of Potassium and Calcium Currents in the Bistable Firing Transition.bioRxiv : the preprint server for biology · 2023Article
- Article
- The cellular architecture of memory modules ineLife · 2023Article
- The contribution of ion channels to shaping macrophage behaviour.Frontiers in pharmacology · 2022Review
- Predicting Spike Features of Hodgkin-Huxley-Type Neurons With Simple Artificial Neural Network.Frontiers in computational neuroscience · 2021Article
- Biophysically interpretable inference of single neuron dynamics.Journal of computational neuroscience · 2019Article
- Sensory processing by motoneurons: a numerical model for low-level flight control in flies.Journal of the Royal Society, Interface · 2018Article
- Ring Attractor Dynamics Emerge from a Spiking Model of the Entire Protocerebral Bridge.Frontiers in behavioral neuroscience · 2017Article
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Voltage gated ion channels play a major role in determining a neuron's firing behavior, resulting in the specific processing of synaptic input patterns. Drosophila and other invertebrates provide valuable model systems for investigating ion channel kinetics and their impact on firing properties. Despite the increasing importance of Drosophila as a model system, few computational models of its ion channel kinetics have been developed. In this study, experimentally observed biophysical properties of voltage gated ion channels from the fruitfly Drosophila melanogaster are used to develop a minimal, conductance based neuron model. We investigate the impact of the densities of these channels on the excitability of the model neuron. Changing the channel densities reproduces different in situ observed firing patterns and induces a switch from integrator to resonator properties. Further, we analyze the preference to input frequency and how it depends on the channel densities and the resulting bifurcation type the system undergoes. An extension to a three dimensional model demonstrates that the inactivation kinetics of the sodium channels play an important role, allowing for firing patterns with a delayed first spike and subsequent high frequency firing as often observed in invertebrates, without altering the kinetics of the delayed rectifier current.
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