The hand endows us with unparalleled precision and versatility in our interactions with
objects, from mundane activities such as grasping to extraordinary ones such as virtuoso …

Recently developed methods in computational neuroethology have enabled increasingly
detailed and comprehensive quantification of animal movements and behavioral kinematics …

While motor cortical circuits contain information related to specific movement parameters,
long-range inputs also have a critical role in action execution,. Thalamic projections can …

Acoustic signals serve communication within and across species throughout the animal
kingdom. Studying the genetics, evolution, and neurobiology of acoustic communication …

Increases in the scale and complexity of behavioral data pose an increasing challenge for
data analysis. A common strategy involves replacing entire behaviors with small numbers of …

Background: The manual detection, analysis and classification of animal vocalizations in
acoustic recordings is laborious and requires expert knowledge. Hence, there is a need for …

Biological neural networks adapt and learn in diverse behavioral contexts. Artificial neural
networks (ANNs) have exploited biological properties to solve complex problems. However …

Studying the vocalisations of wild animals can be a challenge due to the limitations of
traditional computational methods, which often are time‐consuming and lack reproducibility …

The power grid frequency is the central observable in power system control, as it measures
the balance of electrical supply and demand. A reliable frequency forecast can facilitate …

Researchers have a natural tendency to classify biological systems into categories. For
example, organisms can be classified based on biome, ecosystem, taxon, phylogeny, niche …