Towards the fully automated monitoring of ecological communities

M Besson, J Alison, K Bjerge, TE Gorochowski… - Ecology …, 2022 - Wiley Online Library
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …

[HTML][HTML] Perspectives in machine learning for wildlife conservation

D Tuia, B Kellenberger, S Beery, BR Costelloe… - Nature …, 2022 - nature.com
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …

[HTML][HTML] SLEAP: A deep learning system for multi-animal pose tracking

TD Pereira, N Tabris, A Matsliah, DM Turner, J Li… - Nature …, 2022 - nature.com
The desire to understand how the brain generates and patterns behavior has driven rapid
methodological innovation in tools to quantify natural animal behavior. While advances in …

[HTML][HTML] The emergence and influence of internal states

SW Flavell, N Gogolla, M Lovett-Barron, M Zelikowsky - Neuron, 2022 - cell.com
Animal behavior is shaped by a variety of" internal states"—partially hidden variables that
profoundly shape perception, cognition, and action. The neural basis of internal states, such …

[HTML][HTML] The Mouse Action Recognition System (MARS) software pipeline for automated analysis of social behaviors in mice

C Segalin, J Williams, T Karigo, M Hui, M Zelikowsky… - Elife, 2021 - elifesciences.org
The study of naturalistic social behavior requires quantification of animals' interactions. This
is generally done through manual annotation—a highly time-consuming and tedious …

[HTML][HTML] A paradigm shift in translational psychiatry through rodent neuroethology

Y Shemesh, A Chen - Molecular psychiatry, 2023 - nature.com
Mental disorders are a significant cause of disability worldwide. They profoundly affect
individuals' well-being and impose a substantial financial burden on societies and …

Frontiers in quantifying wildlife behavioural responses to chemical pollution

MG Bertram, JM Martin, ES McCallum… - Biological …, 2022 - Wiley Online Library
Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …

SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers

M Nagy, H Naik, F Kano, NV Carlson, JC Koblitz… - Science …, 2023 - science.org
The SMART-BARN (scalable multimodal arena for real-time tracking behavior of animals in
large numbers) achieves fast, robust acquisition of movement, behavior, communication …

The movement ecology of fishes

SJ Cooke, JN Bergman, WM Twardek… - Journal of Fish …, 2022 - Wiley Online Library
Movement of fishes in the aquatic realm is fundamental to their ecology and survival.
Movement can be driven by a variety of biological, physiological and environmental factors …

[HTML][HTML] Emerging technologies for behavioral research in changing environments

ID Couzin, C Heins - Trends in Ecology & Evolution, 2023 - cell.com
The first response exhibited by animals to changing environments is typically behavioral.
Behavior is thus central to predicting, and mitigating, the impacts that natural and …