Vortex phase matching as a strategy for schooling in robots and in fish

Autor: Liang Li, Máté Nagy, Jacob M. Graving, Joseph Bak-Coleman, Guangming Xie, Iain D. Couzin

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)

Whether and how fish might benefit from swimming in schools is an ongoing intriguing debate. Li et al. conduct experiments with biomimetic robots and also with real fish to reveal a new behavioural strategy by which followers can exploit the vortices

Externí odkaz: https://doaj.org/article/fec23de496b14986a1c35500d0fd600e

Quantifying the movement, behaviour and environmental context of group‐living animals using drones and computer vision

Autor: Benjamin Koger, Adwait Deshpande, Jeffrey T. Kerby, Jacob M. Graving, Blair R. Costelloe, Iain D. Couzin

Publikováno v: Koger, B, Deshpande, A, Kerby, J T, Graving, J M, Costelloe, B R & Couzin, I D 2023, ' Quantifying the movement, behaviour and environmental context of group-living animals using drones and computer vision ', Journal of Animal Ecology, vol. 92, no. 7, pp. 1357-1371 . https://doi.org/10.1111/1365-2656.13904

Methods for collecting animal behavior data in natural environments, such as direct observation and bio-logging, are typically limited in spatiotemporal resolution, the number of animals that can be observed, and information about animals’ social a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::652cbf049b24e5816dbc43326d523c33
https://doi.org/10.1111/1365-2656.13904

VAE-SNE: a deep generative model for simultaneous dimensionality reduction and clustering

Autor: Iain D. Couzin, Jacob M. Graving

Scientific datasets are growing rapidly in scale and complexity. Consequently, the task of understanding these data to answer scientific questions increasingly requires the use of compression algorithms that reduce dimensionality by combining correla

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e63a529cf0e34265c3d77c904e23f8e4
https://doi.org/10.1101/2020.07.17.207993

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

Autor: Liang Li, Jacob M. Graving, Blair R. Costelloe, Hemal Naik, Benjamin Koger, Iain D. Couzin, Daniel Chae

Publikováno v: eLife, Vol 8 (2019)
eLife

Quantitative behavioral measurements are important for answering questions across scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods offer major advances in data quality and detail by allowing researchers to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fb3f432899b88a528d4c183b4a7a263
https://elifesciences.org/articles/47994

An automated barcode tracking system for behavioural studies in birds

Autor: Jacob M. Graving, Adriana Alexandra Maldonado-Chaparro, Gustavo Alarcón-Nieto, Inge Mueller, Damien R. Farine, James A. Klarevas-Irby

Publikováno v: Methods in Ecology and Evolution
Repositorio EdocUR-U. Rosario
Universidad del Rosario
instacron:Universidad del Rosario

1. Recent advances in technology allow researchers to automate the measurement of animal behaviour. These methods have multiple advantages over direct observations and manual data input as they reduce bias related to human perception and fatigue, and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2578d388307cc710f8c5532256af6943
https://repository.urosario.edu.co/handle/10336/26762