scholarly journals Exitable membrane ion channel as a self-organized non-equilibrium system. 1. Modelling of gate processes

1991 ◽  
Vol 7 (6) ◽  
pp. 64-70 ◽  
Author(s):  
G. Ye. Weinreb ◽  
V. N. Kharkyanen
Keyword(s):  
Ion Channel ◽  
Equilibrium System ◽  
Self Organized ◽  
System 1 ◽  
Non Equilibrium

scholarly journals Decision-Making in Physical Intelligent Systems Regulated by Growth Rate Factors

2014 ◽  
Vol 7 (4) ◽  
pp. 55
Author(s):  
Till D. Frank
Keyword(s):  
Decision Making ◽  
Growth Rate ◽  
Intelligent Systems ◽  
Equilibrium System ◽  
Discharge System ◽  
Chemical Systems ◽  
Self Organized ◽  
Current Flows ◽  
Physical And Chemical ◽  
Non Equilibrium

In the literature, self-organizing physical and chemical systems have been proposed as candidates for physical intelligent systems that may solve problems in the field of artificial intelligent in a non-algorithmic way that is not based on computation. In this theoretical study, decision-making in such physical intelligent systems is discussed in terms of non-equilibrium transitions between two self-organized states. The control parameter driving the non-equilibrium transitions is related to two growth rate factors. It is shown for a particular non-equilibrium system that the decision-making process satisfies the principle of selecting the state with the fastest growth rate factor. The system under consideration is a two component gas discharge system whose current flows can be described by means of an electronic blueprint.

scholarly journals Fluctuation Theorem of Information Exchange between Subsystems that Co-Evolve in Time

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 433 ◽  
Author(s):  
Lee Jinwoo
Keyword(s):  
Information Exchange ◽  
Degrees Of Freedom ◽  
Fluctuation Theorem ◽  
Equilibrium System ◽  
Dynamic Coupling ◽  
Stochastic Thermodynamics ◽  
Exchange Processes ◽  
Exchange Information ◽  
Non Equilibrium

Sagawa and Ueda established a fluctuation theorem of information exchange by revealing the role of correlations in stochastic thermodynamics and unified the non-equilibrium thermodynamics of measurement and feedback control. They considered a process where a non-equilibrium system exchanges information with other degrees of freedom such as an observer or a feedback controller. They proved the fluctuation theorem of information exchange under the assumption that the state of the other degrees of freedom that exchange information with the system does not change over time while the states of the system evolve in time. Here we relax this constraint and prove that the same form of the fluctuation theorem holds even if both subsystems co-evolve during information exchange processes. This result may extend the applicability of the fluctuation theorem of information exchange to a broader class of non-equilibrium processes, such as a dynamic coupling in biological systems, where subsystems that exchange information interact with each other.

Simulating surface tension in a non-equilibrium system

Scilight ◽  
2019 ◽  
Vol 2019 (17) ◽  
pp. 170006
Author(s):  
Stacy W. Kish
Keyword(s):  
Surface Tension ◽  
Equilibrium System ◽  
Non Equilibrium
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