Stochastic resonance, coherence resonance, and spike timing reliability of Hodgkin–Huxley neurons with ion-channel noise

2017 ◽  
Vol 471 ◽  
pp. 263-275 ◽  
Author(s):  
Haitao Yu ◽  
Roberto F. Galán ◽  
Jiang Wang ◽  
Yibin Cao ◽  
Jing Liu
Keyword(s):  
Ion Channel ◽  
Stochastic Resonance ◽  
Spike Timing ◽  
Channel Noise ◽  
Coherence Resonance ◽  
Ion Channel Noise

scholarly journals Inverse stochastic resonance induced by ion channel noise

2012 ◽  
Vol 13 (Suppl 1) ◽  
pp. P181 ◽  
Author(s):  
Muhammet Uzuntarla ◽  
John R Cressman ◽  
Mahmut Ozer ◽  
Ernest Barreto
Keyword(s):  
Ion Channel ◽  
Stochastic Resonance ◽  
Channel Noise ◽  
Ion Channel Noise

scholarly journals An investigation of the coefficient of variation using voltage clamps techniques

2015 ◽  
Vol 4 (4) ◽  
pp. 364
Author(s):  
Ahmed Mahmood Khudhur ◽  
Ahmed N Abdalla ◽  
Jasni Mohamad Zain ◽  
Hai Tao
Keyword(s):  
Ion Channel ◽  
Coefficient Of Variation ◽  
Cross Correlation ◽  
Open Channel ◽  
Dynamical Behavior ◽  
Channel Noise ◽  
Spontaneous Firing ◽  
Voltage Clamps ◽  
Transmembrane Voltage ◽  
Ion Channel Noise

<p class="MsoNormal" style="text-align: justify; text-justify: inter-ideograph;"><span style="font-size: 10.0pt;">In recent years, it has been argued and experimentally shown that ion channel noise in neurons can have profound effects on the neuron’s dynamical behavior. Most profoundly, ion channel noise was seen to be able to cause spontaneous firing and stochastic resonance. It has been recently found that a non-trivially persistent cross correlation takes place between the transmembrane voltage fluctuations and the component of open channel fluctuations attributed to gate multiplicity. This non-trivial phenomenon was found to play a major augmentative role for the elevation of excitability and spontaneous firing in the small size cell. In addition, the same phenomenon was found to significantly enhance the spike coherence. In this paper, statistics of the coefficient of variation, to be obtained from the colored stochastic Hodgkin-Huxley equations using voltage clamps techniqueswill be studied. The simulation result shows the coefficient of variation; enhance the agreement with the microscopeinthe case of the noisy currents.</span></p>

scholarly journals Ion-Channel Noise Places Limits on the Miniaturization of the Brain’s Wiring

2005 ◽  
Vol 15 (12) ◽  
pp. 1143-1149 ◽  
Author(s):  
A. Aldo Faisal ◽  
John A. White ◽  
Simon B. Laughlin
Keyword(s):  
Ion Channel ◽  
Channel Noise ◽  
Ion Channel Noise

scholarly journals Ion channel noise shapes the electrical activity of endocrine cells

2020 ◽  
Vol 16 (4) ◽  
pp. e1007769 ◽  
Author(s):  
David M. Richards ◽  
Jamie J. Walker ◽  
Joel Tabak
Keyword(s):  
Electrical Activity ◽  
Ion Channel ◽  
Endocrine Cells ◽  
Channel Noise ◽  
Ion Channel Noise

EFFECT OF NON-GAUSSIAN CHANNEL NOISE ON COHERENCE RESONANCE IN COUPLED STOCHASTIC HODGKIN–HUXLEY NEURONS

2012 ◽  
Vol 11 (02) ◽  
pp. 1250013 ◽  
Author(s):  
YUBING GONG ◽  
LI WANG ◽  
XIU LIN
Keyword(s):  
Information Processing ◽  
Ion Channel ◽  
Gaussian Distribution ◽  
Underlying Mechanism ◽  
Channel Noise ◽  
Gaussian Channel ◽  
Coherence Resonance ◽  
Patch Area ◽  
Neuron Number ◽  
Non Gaussian

In this paper, we study the effect of non-Gaussian channel noise (NCN) on the spiking coherence of a single and an array of bi-directionally coupled Hodgkin–Huxley neurons, mainly investigating how the non-Gaussian character of channel noise affects the coherence resonance (CR) induced by channel noise and by the number of neurons. It is found that, when NCN's deviation q from Gaussian distribution is increased, the CR moves to larger patch area (smaller channel noise) and smaller neuron number, which means that CR occurs in bigger ion channel clusters and smaller neuron number when q is increased. This result shows that, depending on the type of NCN, CR occurs in different sizes of ion channel clusters and numbers of neurons. The underlying mechanism is briefly discussed in terms of the property of NCN. These findings may help to better understand the roles of NCN for improving the time precision of the information processing in coupled stochastic neurons.

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