2019
DOI: 10.1016/j.aeue.2019.01.006
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Neuronal communication: Stochastic neuron dynamics and multi-synchrony states

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Cited by 5 publications
(3 citation statements)
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“…These two processes are implemented in this algorithm by generating two statistically independent random numbers, namely and such that the reaction time is computed using , where , is the propensity function given by , where is the number of possible molecular combinations of reaction, and the reaction will fire when it satisfies . Intrinsic noise ( ) associated with the clock protein dynamics in the system is inversely proportional to the square root of the systems size (i.e., ( Gillespie, 2000 ; Singh et al, 2018 ; Sharma et al, 2019 ; Singh et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…These two processes are implemented in this algorithm by generating two statistically independent random numbers, namely and such that the reaction time is computed using , where , is the propensity function given by , where is the number of possible molecular combinations of reaction, and the reaction will fire when it satisfies . Intrinsic noise ( ) associated with the clock protein dynamics in the system is inversely proportional to the square root of the systems size (i.e., ( Gillespie, 2000 ; Singh et al, 2018 ; Sharma et al, 2019 ; Singh et al, 2021 ).…”
Section: Methodsmentioning
confidence: 99%
“…associated with the clock protein dynamics in the system is inversely proportional to the square root of the systems size V (i.e., ξ ∝ 1 V ) (Gillespie, 2000;Singh et al, 2018;Sharma et al, 2019;Singh et al, 2021).…”
Section: Technique For Simulation Of the Biochemical Reaction Pathwaymentioning
confidence: 99%
“…Because of the complex non-linear structure of neurons and the random factors within the nervous system, the discharge has a complex discharge rhythm. Neurons are affected by various noises in the biological process of transmitting information, such as the randomness of the opening and closing of ion channels, the randomness of neurotransmitters released by chemical synapses, the randomness of the movement of surrounding molecules, and the randomness of input signals of other neurons [15,16]. Hence it is very important to study the effect of noise on the nervous system.…”
Section: Introductionmentioning
confidence: 99%