Quantifying behavior to understand the brain

TD Pereira, JW Shaevitz, M Murthy - Nature neuroscience, 2020 - nature.com
Over the past years, numerous methods have emerged to automate the quantification of
animal behavior at a resolution not previously imaginable. This has opened up a new field of …

Deep learning tools for the measurement of animal behavior in neuroscience

MW Mathis, A Mathis - Current opinion in neurobiology, 2020 - Elsevier
Highlights•Deep neural networks are shattering performance benchmarks in computer
vision for various tasks.•Using modern deep learning approaches (DNNs) in the lab is a …

TRex, a fast multi-animal tracking system with markerless identification, and 2D estimation of posture and visual fields

T Walter, ID Couzin - Elife, 2021 - elifesciences.org
Automated visual tracking of animals is rapidly becoming an indispensable tool for the study
of behavior. It offers a quantitative methodology by which organisms' sensing and decision …

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 …

A review of 28 free animal-tracking software applications: current features and limitations

V Panadeiro, A Rodriguez, J Henry, D Wlodkowic… - Lab animal, 2021 - nature.com
Well-quantified laboratory studies can provide a fundamental understanding of animal
behavior in ecology, ethology and ecotoxicology research. These types of studies require …

LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals

A Gosztolai, S Günel, V Lobato-Ríos, M Pietro Abrate… - Nature …, 2021 - nature.com
Abstract Markerless three-dimensional (3D) pose estimation has become an indispensable
tool for kinematic studies of laboratory animals. Most current methods recover 3D poses by …

Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring

MN Ratnayake, AG Dyer, A Dorin - Plos one, 2021 - journals.plos.org
Monitoring animals in their natural habitat is essential for advancement of animal
behavioural studies, especially in pollination studies. Non-invasive techniques are preferred …

Automatic detection of fish and tracking of movement for ecology

S Lopez‐Marcano, EL Jinks, CA Buelow… - Ecology and …, 2021 - Wiley Online Library
Animal movement studies are conducted to monitor ecosystem health, understand
ecological dynamics, and address management and conservation questions. In marine …

Microengineered devices enable long-term imaging of the ventral nerve cord in behaving adult Drosophila

L Hermans, M Kaynak, J Braun, VL Ríos… - Nature …, 2022 - nature.com
The dynamics and connectivity of neural circuits continuously change on timescales ranging
from milliseconds to an animal's lifetime. Therefore, to understand biological networks …

Paths towards greater consensus building in experimental biology

DG Roche, GD Raby, T Norin, R Ern… - Journal of …, 2022 - journals.biologists.com
In a recent editorial, the Editors-in-Chief of Journal of Experimental Biology argued that
consensus building, data sharing, and better integration across disciplines are needed to …