A Simple Methodology for 2D Reconstruction Using a CNN Model

Rodríguez-Santiago, Armando Levid; Arias-Aguilar, José Anibal; Petrilli-Barceló, Alberto; Miranda-Luna, R.

doi:10.1007/978-3-030-49076-8_10

Cited by 2 publications

(1 citation statement)

References 21 publications

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“…Using the object detection algorithm Mask-RCNN (Region-based Convolutional Neural Network), we obtained the trajectories from the behavioral recordings by training the network on a subset of manually annotated video screenshots to accurately detect individual spiders (details are in ref. 61). This resulted in a pixel mask for each detected spider, where the mask's centroid was computed as the individuals' position at that frame.…”

Section: Methodsmentioning

confidence: 99%

Spatiotemporal dynamics of animal contests arise from effective forces between contestants

Haluts

Reyes

Gorbonos

et al. 2021

Proc. Natl. Acad. Sci. U.S.A.

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Competition among animals for resources, notably food, territories, and mates, is ubiquitous at all scales of life. This competition is often resolved through contests among individuals, which are commonly understood according to their outcomes and in particular, how these outcomes depend on decision-making by the contestants. Because they are restricted to end-point predictions, these approaches cannot predict real-time or real-space dynamics of animal contest behavior. This limitation can be overcome by studying systems that feature typical contest behavior while being simple enough to track and model. Here, we propose to use such systems to construct a theoretical framework that describes real-time movements and behaviors of animal contestants. We study the spatiotemporal dynamics of contests in an orb-weaving spider, in which all the common elements of animal contests play out. The confined arena of the web, on which interactions are dominated by vibratory cues in a two-dimensional space, simplifies the analysis of interagent interactions. We ask whether these seemingly complex decision-makers can be modeled as interacting active particles responding only to effective forces of attraction and repulsion due to their interactions. By analyzing the emergent dynamics of “contestant particles,” we provide mechanistic explanations for real-time dynamical aspects of animal contests, thereby explaining competitive advantages of larger competitors and demonstrating that complex decision-making need not be invoked in animal contests to achieve adaptive outcomes. Our results demonstrate that physics-based classification and modeling, in terms of effective rules of interaction, provide a powerful framework for understanding animal contest behaviors.

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Section: Methodsmentioning

confidence: 99%

Spatiotemporal dynamics of animal contests arise from effective forces between contestants

Haluts

Reyes

Gorbonos

et al. 2021

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

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Dynamics on the web: spiders use physical rules to solve complex tasks in mate search and competition

Haluts

Reyes

Gorbonos

et al. 2021

Preprint

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A long-standing question in animal behaviour is how organisms solve complex tasks. Here we explore how the dynamics of animal behaviour in the ubiquitous tasks of mate-search and competition can arise from a physics-based model of effective interactions. Male orb-weaving spiders of the genus Trichonephila are faced with the daunting challenge of entering the web of a much larger and potentially cannibalistic female, approaching her, and fending off rival males. The interactions that govern the dynamics of males within the confined two-dimensional arena of the female’s web are dominated by seismic vibrations. This unifying modality allows us to describe the spiders as interacting active particles, responding only to effective forces of attraction and repulsion due to the female and rival males. Our model is based on a detailed analysis of experimental spider trajectories, obtained during the approach of males towards females, and amidst their interactions with rival males of different sizes. The dynamics of ’spider particles’ that emerges from our theory allows us to explain a puzzling relationship between the density of males on the web and the reproductive advantages of large males. Our results provide strong evidence that the simple physical rules at the basis of our model can give rise to complex fitness related behaviours in this system.

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A Simple Methodology for 2D Reconstruction Using a CNN Model

Cited by 2 publications

References 21 publications

Spatiotemporal dynamics of animal contests arise from effective forces between contestants

Spatiotemporal dynamics of animal contests arise from effective forces between contestants

Dynamics on the web: spiders use physical rules to solve complex tasks in mate search and competition

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