ArticlePLoS computational biology2007
Stochastic simulations on the reliability of action potential propagation in thin axons.
Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed.
- Mitochondria delay action potential propagation.Communications biology · 2025Article
- A Mechanistic Model of Perceptual Binding Predicts That Binding Mechanism Is Robust against Noise.Entropy (Basel, Switzerland) · 2024Article
- Synergy of Nanotopography and Electrical Conductivity of PEDOT/PSS for Enhanced Neuronal Development.ACS applied materials & interfaces · 2023Article
- A functional account of stimulation-based aerobic glycolysis and its role in interpreting BOLD signal intensity increases in neuroimaging experiments.Neuroscience and biobehavioral reviews · 2023Review
- Article
- Neural synchrony in cortical networks: mechanisms and implications for neural information processing and coding.Frontiers in integrative neuroscience · 2022Article
- Implications of Noise on Neural Correlates of Consciousness: A Computational Analysis of Stochastic Systems of Mutually Connected Processes.Entropy (Basel, Switzerland) · 2021Article
- Communication consumes 35 times more energy than computation in the human cortex, but both costs are needed to predict synapse number.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Dense neuronal reconstruction through X-ray holographic nano-tomography.Nature neuroscience · 2020Article
- Understanding the retinal basis of vision across species.Nature reviews. Neuroscience · 2020Review
- Intermittent Failure of Spike Propagation in Primary Afferent Neurons during Tactile Stimulation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019Article
- Cortical reliability amid noise and chaos.Nature communications · 2019Article
- Data-driven inference for stationary jump-diffusion processes with application to membrane voltage fluctuations in pyramidal neurons.Journal of mathematical neuroscience · 2019Article
- Linking demyelination to compound action potential dispersion with a spike-diffuse-spike approach.Journal of mathematical neuroscience · 2019Article
- Article
- The Role of Variability in Motor Learning.Annual review of neuroscience · 2017Review
- Ionic mechanisms underlying history-dependence of conduction delay in an unmyelinated axon.eLife · 2017Article
- Solitonic conduction of electrotonic signals in neuronal branchlets with polarized microstructure.Scientific reports · 2017Article
- Article
- Reliability of signal transmission in stochastic nerve axon equations.Journal of computational neuroscience · 2016Article
4 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is generally assumed that axons use action potentials (APs) to transmit information fast and reliably to synapses. Yet, the reliability of transmission along fibers below 0.5 microm diameter, such as cortical and cerebellar axons, is unknown. Using detailed models of rodent cortical and squid axons and stochastic simulations, we show how conduction along such thin axons is affected by the probabilistic nature of voltage-gated ion channels (channel noise). We identify four distinct effects that corrupt propagating spike trains in thin axons: spikes were added, deleted, jittered, or split into groups depending upon the temporal pattern of spikes. Additional APs may appear spontaneously; however, APs in general seldom fail (<1%). Spike timing is jittered on the order of milliseconds over distances of millimeters, as conduction velocity fluctuates in two ways. First, variability in the number of Na channels opening in the early rising phase of the AP cause propagation speed to fluctuate gradually. Second, a novel mode of AP propagation (stochastic microsaltatory conduction), where the AP leaps ahead toward spontaneously formed clusters of open Na channels, produces random discrete jumps in spike time reliability. The combined effect of these two mechanisms depends on the pattern of spikes. Our results show that axonal variability is a general problem and should be taken into account when considering both neural coding and the reliability of synaptic transmission in densely connected cortical networks, where small synapses are typically innervated by thin axons. In contrast we find that thicker axons above 0.5 microm diameter are reliable.
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