Animal behaviour is remarkably sensitive to disruption by chemical pollution, with
widespread implications for ecological and evolutionary processes in contaminated wildlife …

Bee populations are declining in the industrialized world, raising concerns for the
sustainable pollination of crops. Pesticides, pollutants, parasites, diseases, and malnutrition …

Quantitative behavioral measurements are important for answering questions across
scientific disciplines—from neuroscience to ecology. State-of-the-art deep-learning methods …

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 …

Behavioural analysis based on video recording is becoming increasingly popular within
research fields such as; ecology, medicine, ecotoxicology and toxicology. However, the …

Deep Convolutional Neuronal Networks (DCNNs) are showing remarkable performance on
many computer vision tasks. Due to their large parameter space, they require many labeled …

Recently developed methods for video analysis, especially models for pose estimation and
behavior classification, are transforming behavioral quantification to be more precise …

Social networks mediate the spread of information and disease. The dynamics of spreading
depends, among other factors, on the distribution of times between successive contacts in …

Monitoring animals in their natural habitat is essential for advancement of animal
behavioural studies, especially in pollination studies. Non-invasive techniques are preferred …

Neonicotinoid pesticides can negatively affect bee colonies, but the behavioral mechanisms
by which these compounds impair colony growth remain unclear. Here, we investigate …