Supervised machine learning aided behavior classification in pigeons.

ABSTRACT: Manual behavioral observations have been applied in both environment and laboratory experiments in order to analyze and quantify animal movement and behavior. Although these observations contributed tremendously to ecological and neuroscientific disciplines, there have been challenges and disadvantages following in their footsteps. They are not only time-consuming, labor-intensive, and error-prone but they can also be subjective, which induces further difficulties in reproducing the results. Therefore, there is an ongoing endeavor towards automated behavioral analysis, which has also paved the way for open-source software approaches. Even though these approaches theoretically can be applied to different animal groups, the current applications are mostly focused on mammals, especially roden

SUBMITTER: Wittek N 

PROVIDER: S-EPMC10250476 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature