Jealousy

Vonk, Jennifer

doi:10.1007/978-3-319-47829-6_372-1

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…Over the past 70 years, the visual systems of insects, including blow flies (Calliphora), fruit flies (Drosophila), locusts, and others have received a great deal of attention (for a review, see [1]). These studies have discovered a variety of neurons that respond to apparent image motion, also known as optic flow [2,3]. Mathematically, optic flow is the image angular velocity α, defined for each receptor angle, α, across the eye's retina.…”

Section: Introductionmentioning

confidence: 99%

Insect inspired vision-based velocity estimation through spatial pooling of optic flow during linear motion

2021

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Insects rely on the perception of image motion, or optic flow, to estimate their velocity relative to nearby objects. This information provides important sensory input for avoiding obstacles. However, certain behaviors, such as estimating the absolute distance to a landing target, accurately measuring absolute distance traveled, and estimating the ambient wind speed require decoupling optic flow into its component parts: absolute ground velocity and distance to nearby objects. Behavioral experiments suggest that insects perform these calculations, but their mechanism for doing so remains unknown. Here we present a novel algorithm that combines the geometry of dynamic forward motion with known features of insect visual processing to provide a hypothesis for how insects might directly estimate absolute ground velocity from a combination of optic flow and acceleration information. Our robotics-inspired-biology approach reveals three critical requirements. First, absolute ground velocity can only be directly estimated from optic flow during times of active acceleration and deceleration. Second, spatial pooling of optic flow across a receptive field helps to alleviate the effects of noise and/or low resolution visual systems. Third, averaging velocity estimates from multiple receptive fields further helps to reject noise. Our algorithm provides a hypothesis for how insects might estimate absolute velocity from vision during active maneuvers, and also provides a theoretical framework for designing fast analog circuitry for efficient state estimation that can be applied to insect-sized robots.

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Section: Introductionmentioning

confidence: 99%

Insect inspired vision-based velocity estimation through spatial pooling of optic flow during linear motion

2021

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“…En el caso de los lobos, y otros mamíferos, la manada es de suma importancia y eso solo ocurre si los beneficios de este tipo de organización son mayores en comparación con las especies que viven de manera solitaria; y estos beneficios se pueden ver de manera evolutiva. Entonces una manada mejor integrada, como consecuencia de que sus integrantes sean extrovertidos, aumenta su capacidad de supervivencia (Vonk & Shackelford, 2020).…”

Section: Individualidad (Personalidad) De Los Ejemplaresunclassified

Determinación de la individualidad y el temperamento de ejemplares cachorros y juveniles de lobo mexicano (Canis lupus baileyi) en los zoológicos de Chapultepec y San Juan de Aragón

Sánchez Soto

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Studies of individuality in non-human animal species have been developing more and more since the second half of the 20th century. In the case of canids, most of the research has been carried out in dogs (Canis familiaris), but in other Species of the genus such as wolves, specifically the Mexican wolf (Canis lupus baileyi), have not been investigated in what individuality and in what temperament the specimens could be classified. The objective of this study is, precisely, to classify the cubs and juveniles that are housed in the Chapultepec and San Juan de Aragón zoos, this may be relevant since the Mexican wolf is in danger of extinction, an individuality study of these specimens can help to select the most suitable individuals, ethologically speaking, to be reproduced and released. For this study, 7 specimens belonging to two different litters were considered; at the Chapultepec zoo, the litter studied includes four cubs; two females and three males, while two juvenile males were studied at the Aragon zoo. Observations were made to record the number of behaviors displayed by each specimen, later these records were emptied into a database to be able to analyze them using the Microsoft Excel program. Once having the analysis of the behaviors displayed by the specimens, the personality classification of the specimens was made into introverts and extroverts. Specimens A, B and C from Chapultepec and specimens Pakki and Nashoba from Aragón were classified as extroverts, while specimens D and E from Chapultepec were considered introverts. Regarding the affiliative temperament, in the same way, it was considered that specimens A, B, C, Nashoba and Pakki have a friendlier temperament compared to specimens D and E, which have a less affiliative temperament. For the game temperament, the Nashoba and B specimens tend to play more, while the C, D, E and Pakki specimens had less gaming behaviors and do not tend to have this temperament. As for the agonistic temperament, it is difficult to determine it in Chapultepec due to the short amount of time it was observed in this zoo; however, in Aragón it was observed that Nashoba received multiple attacks from his father and for this reason he was separated from the group, while Pakki remained with few agonistic interactions until November 2021 in which they increased and he was also separated from the group, both can be considered submissive.

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Jealousy

Cited by 2 publications

References 19 publications

Insect inspired vision-based velocity estimation through spatial pooling of optic flow during linear motion

Insect inspired vision-based velocity estimation through spatial pooling of optic flow during linear motion

Determinación de la individualidad y el temperamento de ejemplares cachorros y juveniles de lobo mexicano (Canis lupus baileyi) en los zoológicos de Chapultepec y San Juan de Aragón

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