The study of complex behaviors is often challenging when using manual annotation due to
the absence of quantifiable behavioral definitions and the subjective nature of behavioral …

The use of rigorous ethological observation via machine learning techniques to understand
brain function (computational neuroethology) is a rapidly growing approach that is poised to …

Behavior identification and quantification techniques have undergone rapid development.
To this end, supervised or unsupervised methods are chosen based upon their intrinsic …

Aberrant social behavior is a core feature of many neuropsychiatric disorders, yet the study
of complex social behavior in freely moving rodents is relatively infrequently incorporated …

The development of automated behavior scoring technology has been a tremendous boon
to the study of social behavior. However, completely outsourcing behavioral analysis to a …

Annotation tools serve a critical role in the generation of datasets that fuel machine learning
applications. With the advent of Foundation Models, particularly those based on Transformer …

Background: The application of automated analyses in neuroscience has become a
practical approach. With automation, the algorithms and tools employed perform fast and …

There has been an expansion in the diversity of tools used to measure various aspects of
brain function in behaving animals. While these tools have great potential to transform our …

Rodent behavioral analysis is a major specialization in experimental psychology and
behavioral neuroscience. Rodents display a wide range of species-specific behaviors, not …

To identify and extract naturalistic behavior, two methods have become popular: supervised
and unsupervised. Each approach carries its own strengths and weaknesses (for example …