Abstract Machine learning (ML) as a novel model-based approach has been used in
studying aquatic toxicology in the environmental field. Zebrafish, as an ideal model …

A major goal shared by neuroscience and collective behavior is to understand how dynamic
interactions between individual elements give rise to behaviors in populations of neurons …

Nature, with its numerous surprising rules, serves as a rich source of creativity for the
development of artificial intelligence, inspiring researchers to create several nature-inspired …

Virtual reality (VR) enables standardized stimuli to provoke behavioural responses in
animals; however, in fish studies VR has been limited to either basic virtual simulation …

The zebrafish (Danio rerio) is increasingly used in neuroscience research. Zebrafish are
relatively easy to maintain, and their high fecundity makes them suitable for high-throughput …

Abstract Models are constantly being developed to replicate the collective behavior of
biological groups. However, with popular vision-based models, it is difficult to capture the …

Collective motion emerges from individual interactions which produce group-wide patterns
in behavior. While adaptive changes to collective motion are observed across animal …

Effective foraging in a predictable local environment requires coordinating movement with
observable spatial context-in a word, navigation. Distinct from search, navigating to specific …

Collective motion provides a spectacular example of self-organization in Nature. Visual
information plays a crucial role among various types of information in determining …

The dynamics of living organisms are organized across many spatial scales, yet existing,
cost-effective imaging systems can measure only a subset of these scales at once. Here, we …