Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation
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Abstract
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DOI: 10.1371/journal.pcbi.1001102
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References listed on IDEAS
- Antti Saarinen & Marja-Leena Linne & Olli Yli-Harja, 2008. "Stochastic Differential Equation Model for Cerebellar Granule Cell Excitability," PLOS Computational Biology, Public Library of Science, vol. 4(2), pages 1-11, February.
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- Cofré, Rodrigo & Cessac, Bruno, 2013. "Dynamics and spike trains statistics in conductance-based integrate-and-fire neural networks with chemical and electric synapses," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 13-31.
- Kyriaki Sidiropoulou & Panayiota Poirazi, 2012. "Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons," PLOS Computational Biology, Public Library of Science, vol. 8(4), pages 1-15, April.
- Joshua H Goldwyn & Eric Shea-Brown, 2011. "The What and Where of Adding Channel Noise to the Hodgkin-Huxley Equations," PLOS Computational Biology, Public Library of Science, vol. 7(11), pages 1-9, November.
- Tommaso Costa & Giuseppe Boccignone & Franco Cauda & Mario Ferraro, 2016. "The Foraging Brain: Evidence of Lévy Dynamics in Brain Networks," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-16, September.
- Chitaranjan Mahapatra & Inna Samuilik, 2024. "A Mathematical Model of Spontaneous Action Potential Based on Stochastics Synaptic Noise Dynamics in Non-Neural Cells," Mathematics, MDPI, vol. 12(8), pages 1-13, April.
- Liu, Huixia & Lu, Lulu & Zhu, Yuan & Wei, Zhouchao & Yi, Ming, 2022. "Stochastic resonance: The response to envelope modulation signal for neural networks with different topologies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).
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