Abstract

A special class of random walks, so-called Lévy walks, has been observed in a variety of organisms ranging from cells, insects, fishes, and birds to mammals, including humans. Although their prevalence is considered to be a consequence of natural selection for higher search efficiency, some findings suggest that Lévy walks might also be epiphenomena that arise from interactions with the environment. Therefore, why they are common in biological movements remains an open question. Based on some evidence that Lévy walks are spontaneously generated in the brain and the fact that power-law distributions in Lévy walks can emerge at a critical point, we hypothesized that the advantages of Lévy walks might be enhanced by criticality. However, the functional advantages of Lévy walks are poorly understood. Here, we modeled nonlinear systems for the generation of locomotion and showed that Lévy walks emerging near a critical point had optimal dynamic ranges for coding information. This discovery suggested that Lévy walks could change movement trajectories based on the magnitude of environmental stimuli. We then showed that the high flexibility of Lévy walks enabled switching exploitation/exploration based on the nature of external cues. Finally, we analyzed the movement trajectories of freely moving Drosophila larvae and showed empirically that the Lévy walks may emerge near a critical point and have large dynamic range and high flexibility. Our results suggest that the commonly observed Lévy walks emerge near a critical point and could be explained on the basis of these functional advantages.

Highlights

  • A special class of random walks, so-called Levy walks, has been observed in a variety of organisms ranging from cells, insects, fishes, and birds to mammals, including humans

  • We showed that there could be functional advantages associated with Levy walks emerging near a critical point, including a large dynamic range to stimuli and highly flexible switching between exploitation and exploration

  • We modeled Levy walks based on dynamical systems such as central pattern generators (CPGs) to address the questions of why, in terms of functional advantages, animals often exhibit Levy walks

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Summary

Introduction

A special class of random walks, so-called Levy walks, has been observed in a variety of organisms ranging from cells, insects, fishes, and birds to mammals, including humans Their prevalence is considered to be a consequence of natural selection for higher search efficiency, some findings suggest that Levy walks might be epiphenomena that arise from interactions with the environment. We modeled nonlinear systems for the generation of locomotion and showed that Levy walks emerging near a critical point had optimal dynamic ranges for coding information This discovery suggested that Levy walks could change movement trajectories based on the magnitude of environmental stimuli. Optimal dynamic ranges provide the ability to code information spanning several orders of magnitude, which is essential for biological systems to respond to physical stimuli [27] These findings suggest that Levy walks emerging near a critical point may benefit from criticality. According to the Levy walk foraging hypothesis, evolution through natural selection can explain why Levy walks are widespread in biological movements

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