paper-with-me

홈 › Papers

Weber's law based perception and the stability of animal groups

2019-04-18

Group living animals form aggregations and flocks that remain cohesive in spite of internal movements of individuals. This is possible because individual group members repeatedly adjust their position and motion in response to the position and motion of other group members. Here we develop a theoretical approach to address the question, what general features -- if any -- underlie the interaction rules that mediate group stability in animals of all species? We do so by considering how the spatial organisation of a group would change in the complete absence of interactions. Without interactions, a group would disperse in a way that can be easily characterised in terms of Fick's diffusion equations. We can hence address the inverse theoretical problem of finding the individual-level interaction responses that are required to counterbalance diffusion and to preserve group stability. We show that an individual-level response to neighbour densities in the form of Weber's law (a 'universal' law describing the functioning of the sensory systems of animals of all species) results in an 'anti-diffusion' term at the group level. On short time scales, this anti-diffusion restores the initial group configuration in a way which is reminiscent of methods for image deblurring in image processing. We also show that any non-homogeneous, spatial density distribution can be preserved over time if individual movement patterns have the form of a Weber's law response. Weber's law describes the fundamental functioning of perceptual systems. Our study indicates that it is also a necessary -- but not sufficient -- feature of collective interactions in stable animal groups.

📄 PDF Abstract BibTeX arXiv:1806.00716

Code (1)

pernafrost/weber_law_antidiffusion 공식 구현

Tasks

DeblurringImage DeblurringPosition

Similar Papers 제목 키워드 기반

Quantum spin models for numerosity perception

2022-12-06 · Jorge Yago Malo, Guido Marco Cicchini, Maria Concetta Morrone, Maria Luisa Chiofalo

Humans share with animals, both vertebrates and invertebrates, the capacity to sense the number of items in their environment already at birth. The pervasiveness of this skill across the animal kingdom suggests that it s…

Accelerating Machine Learning via the Weber-Fechner Law

2022-04-21 · B. N. Kausik

The Weber-Fechner Law observes that human perception scales as the logarithm of the stimulus. We argue that learning algorithms for human concepts could benefit from the Weber-Fechner Law. Specifically, we impose Weber-F…

BIG-bench Machine Learning

Psychophysical Machine Learning

2022-08-23 · B. N. Kausik

The Weber Fechner Law of psychophysics observes that human perception is logarithmic in the stimulus. We present an algorithm for incorporating the Weber Fechner law into loss functions for machine learning, and use the …

Deep Learning

Bargaining via Weber's law

2024-08-05 · V. G. Bardakhchyan, A. E. Allahverdyan

We solve the two-player bargaining problem employing Weber's law in psychophysics, which is applied to the perception of utility changes. Using this law, the players define the jointly acceptable range of utilities on th…

Fairness

Co-designing Zoomorphic Robot Concepts for Animal Welfare Education

2025-08-04 · Isobel Voysey, Lynne Baillie, Joanne Williams, Michael Herrmann arxiv

Animal welfare education could greatly benefit from customized robots to help children learn about animals and their behavior, and thereby promote positive, safe child-animal interactions. To this end, we ran Participato…