Brownian motion, fluctuation and life

Yanagida, Toshio; Ueda, Masahiro; Matsumoto, Tsutomu; Esaki, S.; Ishii, Yoshiharu

doi:10.1016/j.biosystems.2006.08.012

Cited by 69 publications

(52 citation statements)

References 24 publications

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“…The GSO approach proposed in the manuscript is based on a coupling between the mechanical dynamics of an embodied system and a control structure known as attractor selection mechanism [11,12,[17][18][19][20]. The mechanism is inspired from a noise-utilizing behavior found in various scales of biological systems like stochasticity in molecular motors, cell signaling processes, dynamic structure of proteins and recognition in brains [11,12].…”

Section: Basic Concept Of An Attractor Selection Mechanism Based Guidmentioning

confidence: 99%

“…The mechanism is inspired from a noise-utilizing behavior found in various scales of biological systems like stochasticity in molecular motors, cell signaling processes, dynamic structure of proteins and recognition in brains [11,12]. Based on the observed dynamics, a simple model was proposed to explain the underlying mechanism by using a dynamical system equation with some attractors [12,[17][18][19][20].…”

Section: Basic Concept Of An Attractor Selection Mechanism Based Guidmentioning

confidence: 99%

“…Commonly, phenomena where stochasticity in an internal control structure drives the behavior of the system are observed at cellular and molecular level [10][11][12][13]. For example, it has been reported that noise in a chemotaxis network of Escherichia coli bacteria affects the switching events of their individual flagellar motors, causing their counterclockwise rotation interval to have a power law distribution [10].…”

Section: Introductionmentioning

confidence: 99%

“…Most recently, it is reported that Levy walks in mussels should have evolved through interaction with their environment [16]. Several studies have also been dedicated to understand and model the balance between stochastic behavior in biological systems commonly measured by entropy, and the ability to attenuate the effect of the randomness to reveal potentially useful deterministic dynamics [11][12][13][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

“…The approach taken is to use a mathematical framework known as attractor selection mechanism as the control structure [11,12,[17][18][19][20]. It is hypothesized that by coupling the mechanical dynamics of the body properly with the mechanism, the corresponding embodied system should be able to gracefully switch between random and deterministic behaviors.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism

Nurzaman

Kim

et al. 2014

Entropy

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Guided self-organization can be regarded as a paradigm proposed to understand how to guide a self-organizing system towards desirable behaviors, while maintaining its non-deterministic dynamics with emergent features. It is, however, not a trivial problem to guide the self-organizing behavior of physically embodied systems like robots, as the behavioral dynamics are results of interactions among their controller, mechanical dynamics of the body, and the environment. This paper presents a guided self-organization approach for dynamic robots based on a coupling between the system mechanical dynamics with an internal control structure known as the attractor selection mechanism. The mechanism enables the robot to gracefully shift between random and deterministic behaviors, represented by a number of attractors, depending on internally generated stochastic perturbation and sensory input. The robot used in this paper is a simulated curved beam hopping robot: a system with a variety of mechanical dynamics which depends on its actuation frequencies. Despite the simplicity of the approach, it will be shown how the approach regulates the probability of the robot to reach a goal through the interplay among the sensory input, the level of inherent stochastic perturbation, i.e., noise, and the mechanical dynamics.

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Section: Basic Concept Of An Attractor Selection Mechanism Based Guidmentioning

confidence: 99%

Section: Basic Concept Of An Attractor Selection Mechanism Based Guidmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism

Nurzaman

Kim

et al. 2014

Entropy

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Brownian Motion in EOQ

Suganthi¹,

Jayalalitha²

2022

Mathematics in Computational Science and Engineering

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Dissymmetries in fluorescence excitation and emission from single chiral molecules

et al. 2009

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Chirality in molecular systems plays profoundly important roles in chemistry and physics. Most chemistry students are introduced to the concept of chirality through demonstrations of the interaction of chiral molecules with polarized light manifested as an ''optical rotation'' leading to the ''(1)'' and ''(2)'' [or dextrorotatory (d-) and levorotatory (l-)] designations of chiral compounds, with the subsequent determination of absolute stereochemical configuration by chemical or physical means enabling application of the familiar ''R'' and ''S'' labels. Although the intrinsic molecular parameters that control the dissymmetric light-matter interaction in chiral systems are well understood, we have only recently begun to ask questions regarding the role of local molecular environment and hidden heterogeneities associated with the ensembleaveraged molecular chiroptical response. In this mini-review, we discuss some of our recent research on application of single-molecule spectroscopy as a tool for probing heterogeneities and fluctuations of chiroptical dissymmetries in condensed phase.

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Brownian motion, fluctuation and life

Cited by 69 publications

References 24 publications

Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism

Guided Self-Organization in a Dynamic Embodied System Based on Attractor Selection Mechanism

Brownian Motion in EOQ

Dissymmetries in fluorescence excitation and emission from single chiral molecules

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