Cian O'Donnell
Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise
O'Donnell, Cian; van Rossum, Mark C.W.
Authors
Mark C.W. van Rossum
Abstract
Electrical signaling in neurons is mediated by the opening and closing of large numbers of individual ion channels. The ion channels' state transitions are stochastic and introduce fluctuations in the macroscopic current through ion channel populations. This creates an unavoidable source of intrinsic electrical noise for the neuron, leading to fluctuations in the membrane potential and spontaneous spikes. While this effect is well known, the impact of channel noise on single neuron dynamics remains poorly understood. Most results are based on numerical simulations. There is no agreement, even in theoretical studies, on which ion channel type is the dominant noise source, nor how inclusion of additional ion channel types affects voltage noise. Here we describe a framework to calculate voltage noise directly from an arbitrary set of ion channel models, and discuss how this can be use to estimate spontaneous spike rates.
Citation
O'Donnell, C., & van Rossum, M. C. (2014). Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise. Frontiers in Computational Neuroscience, 8, https://doi.org/10.3389/fncom.2014.00105
| Journal Article Type | Article |
|---|---|
| Acceptance Date | Aug 18, 2014 |
| Publication Date | Sep 4, 2014 |
| Deposit Date | Feb 8, 2018 |
| Publicly Available Date | Feb 8, 2018 |
| Journal | Frontiers in Computational Neuroscience |
| Electronic ISSN | 1662-5188 |
| Publisher | Frontiers Media |
| Peer Reviewed | Peer Reviewed |
| Volume | 8 |
| DOI | https://doi.org/10.3389/fncom.2014.00105 |
| Keywords | channel noise, voltage-gated ion channels, Hodgkin–Huxley, spontaneous firing, simulation |
| Public URL | https://nottingham-repository.worktribe.com/output/737040 |
| Publisher URL | https://www.frontiersin.org/articles/10.3389/fncom.2014.00105/full |
| Contract Date | Feb 8, 2018 |
Files
cian_noise_publ.pdf
(2.8 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0
You might also like
Reinforcement learning when your life depends on it: a neuro-economic theory of learning
(2024)
Preprint / Working Paper
Energetically efficient learning in neuronal networks
(2023)
Journal Article
Competitive plasticity to reduce the energetic costs of learning
(2023)
Preprint / Working Paper
Lazy learning: a biologically-inspired plasticity rule for fast and energy efficient synaptic plasticity
(2023)
Preprint / Working Paper
Rule Abstraction Is Facilitated by Auditory Cuing in REM Sleep
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search