“…The appearance of the time delay mainly due to finite transmission time related to transport of matter, energy, and information through the system. On the level of a Langevin-type description of a stochastic system, the presence of time delay changes the dynamics of the system, and brings a series of significant and interesting results, such as time delay induced traveling wave solutions [1], coherence resonance [2,3], stochastic resonance [4][5][6], multistability [7], desynchronization [8], excitability [9], periodically oscillate synchronously [10], and critical phenomenon [11].…”
Section: Introductionmentioning
confidence: 99%
“…It has been realized that time delays are ubiquitous in nature, and delay-induced nonequilibrium phenomena in nonlinear stochastic systems have received a great deal of attention [1][2][3][4][5][6][7][8][9][10][11]. The appearance of the time delay mainly due to finite transmission time related to transport of matter, energy, and information through the system.…”
“…The appearance of the time delay mainly due to finite transmission time related to transport of matter, energy, and information through the system. On the level of a Langevin-type description of a stochastic system, the presence of time delay changes the dynamics of the system, and brings a series of significant and interesting results, such as time delay induced traveling wave solutions [1], coherence resonance [2,3], stochastic resonance [4][5][6], multistability [7], desynchronization [8], excitability [9], periodically oscillate synchronously [10], and critical phenomenon [11].…”
Section: Introductionmentioning
confidence: 99%
“…It has been realized that time delays are ubiquitous in nature, and delay-induced nonequilibrium phenomena in nonlinear stochastic systems have received a great deal of attention [1][2][3][4][5][6][7][8][9][10][11]. The appearance of the time delay mainly due to finite transmission time related to transport of matter, energy, and information through the system.…”
“…Within the framework of neuron rate-equation models, a recurrent feedback circuit has been studied by adding to the membrane potential equation a term proportional to the potential at an earlier time [20]. This simplified approach has been successful in the understanding of certain characteristic delay-induced phenomena, such as multistability [21,22] and excitability [23]. In addition, delayed feedback in the Fitz Hugh-Nagumo paradigmatic model of excitable systems was shown to increase the coherence and to modulate the main frequencies of the stochastic dynamics in dependence on the feedback delay time [24].…”
The influence of time delay and noise on critical coupling parameter in the synchronization of small world neural networks is investigated. We find that the time delay and noise play important role in synchronization of this extended system. We find that the time delay presents, the quality of the synchronization of neural network worsens. However, the present of noise results more worsens in the quality of the synchronization of network. One can see that the qualitative relation between critical coupling parameter and linked degree: the larger linked degree becomes, the larger critical coupling parameter with time delay and noise absent or present. This trend is influenced by time delay and noise. The trend become steeper when time delay present, and more gently when noise present.
“…On the other hand, in recent decades there has been considerable interest in delayed systems [16][17][18][19][20][21][22][23][24][25][26], whose dynamics are determined by both the present state x ≡ x(t) and the past state x τ ≡ x(t − τ ), where τ > 0 is the delay time. In real systems, delay is usually ascribed to finite speed of transmission of matter or information, or some kind of feedback control.…”
Section: Introductionmentioning
confidence: 99%
“…In real systems, delay is usually ascribed to finite speed of transmission of matter or information, or some kind of feedback control. It has been shown that delayed systems may exhibit complex dynamic behaviors, such as delay-induced excitability [16] and delay-induced oscillation [17], to list just two. Delayed models have been widely applied to describe * hzhlj@ustc.edu.cn chemical kinetics [18][19][20], neural networks [21], physiological systems [22], optical devices [23,24], population dynamics [25], economic systems [26], and so on.…”
We discuss stochastic thermodynamics (ST) for delayed Langevin systems in this paper. By using the general principles of ST, the first-law-like energy balance and trajectory-dependent entropy s(t) can be well defined in a way that is similar to that in a system without delay. Because the presence of time delay brings an additional entropy flux into the system, the conventional second law s tot 0 no longer holds true, where s tot denotes the total entropy change along a stochastic path and · stands for the average over the path ensemble. With the help of a Fokker-Planck description, we introduce a delay-averaged trajectory-dependent dissipation functional η[χ (t)] which involves the work done by a delay-averaged forceF (x,t) along the path χ (t) and equals the medium entropy change s m [x(t)] in the absence of delay. We show that the total dissipation functional R = s + η, where s denotes the system entropy change along a path, obeys R 0, which could be viewed as the second law in the delayed system. In addition, the integral fluctuation theorem e −R = 1 also holds true. We apply these concepts to a linear Langevin system with time delay and periodic external force. Numerical results demonstrate that the total entropy change s tot could indeed be negative when the delay feedback is positive. By using an inversing-mapping approach, we are able to obtain the delay-averaged forceF (x,t) from the stationary distribution and then calculate the functional R as well as its distribution. The second law R 0 and the fluctuation theorem are successfully validated.
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