ReviewPLoS computational biology2015
What is the most realistic single-compartment model of spike initiation?
Review in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed.
- In silico models in oncology, neurology, and epidemiology: systems-level and multiscale perspectives.NPJ systems biology and applications · 2026Review
- Advancing neuroengineering with Neuromorphic Twins.Nature communications · 2026Review
- Amplifying post-stimulation oscillatory dynamics by engaging synaptic plasticity with transcranial alternating current stimulation.Frontiers in network physiology · 2025Article
- Neuromorphic algorithms for brain implants: a review.Frontiers in neuroscience · 2025Review
- The impact of dynamic reversal potential on the evolution of action potential attributes during spike trains.Frontiers in computational neuroscience · 2025Article
- BiœmuS: A new tool for neurological disorders studies through real-time emulation and hybridization using biomimetic Spiking Neural Network.Nature communications · 2024Article
- Article
- Real-time multicompartment Hodgkin-Huxley neuron emulation on SoC FPGA.Frontiers in neuroscience · 2024Article
- Thinking about the action potential: the nerve signal as a window to the physical principles guiding neuronal excitability.Frontiers in cellular neuroscience · 2023Article
- Polynomial, piecewise-Linear, Step (PLS): A Simple, Scalable, and Efficient Framework for Modeling Neurons.Frontiers in neuroinformatics · 2021Article
- Training deep neural density estimators to identify mechanistic models of neural dynamics.eLife · 2020Article
- Article
- Neurodegeneration exposes firing rate dependent effects on oscillation dynamics in computational neural networks.PloS one · 2020Article
- Sensitivity analysis of the Poisson Nernst-Planck equations: a finite element approximation for the sensitive analysis of an electrodiffusion model.Journal of mathematical biology · 2019Article
- Dependence of excitability indices on membrane channel dynamics, myelin impedance, electrode location and stimulus waveforms in myelinated and unmyelinated fibre models.Medical & biological engineering & computing · 2018Article
- Computational Evaluation of Cochlear Implant Surgery Outcomes Accounting for Uncertainty and Parameter Variability.Frontiers in physiology · 2018Article
- Physiological models of the lateral superior olive.PLoS computational biology · 2017Article
- Action potential initiation in a two-compartment model of pyramidal neuron mediated by dendritic CaScientific reports · 2017Article
- Heterogeneous firing responses predict diverse couplings to presynaptic activity in mice layer V pyramidal neurons.PLoS computational biology · 2017Article
- Article
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1 author.
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No grant is acknowledged in the PubMed record.
Abstract
A large variety of neuron models are used in theoretical and computational neuroscience, and among these, single-compartment models are a popular kind. These models do not explicitly include the dendrites or the axon, and range from the Hodgkin-Huxley (HH) model to various flavors of integrate-and-fire (IF) models. The main classes of models differ in the way spikes are initiated. Which one is the most realistic? Starting with some general epistemological considerations, I show that the notion of realism comes in two dimensions: empirical content (the sort of predictions that a model can produce) and empirical accuracy (whether these predictions are correct). I then examine the realism of the main classes of single-compartment models along these two dimensions, in light of recent experimental evidence.
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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.