Unifying behavioral analysis through animal foundation models

  • 📰 ScienceDaily
  • ⏱ Reading Time:
  • 36 sec. here
  • 9 min. at publisher
  • 📊 Quality Score:
  • News: 42%
  • Publisher: 53%

Behavioral Science News

Mice,Animal Learning And Intelligence,Zoology

Behavioral analysis can provide a lot of information about the health status or motivations of a living being. A new technology makes it possible for a single deep learning model to detect animal motion across many species and environments.

This 'foundational model', called SuperAnimal, can be used for animal conservation, biomedicine, and neuroscience research.

Today marks the beginning of a new chapter in posture analysis for behavioral phenotyping. Mackenzie Mathis' laboratory at EPFL publishes aarticle describing a particularly effective new open-source tool that requires no human annotations to get the model to track animals.

"Here, we have developed an algorithm capable of compiling a large set of annotations across databases and train the model to learn a harmonized language -- we call this pre-training the foundation model," explains Shaokai Ye, a PhD student researcher and first author of the study."Then users can simply deploy our base model or fine-tune it on their own data, allowing for further customization if needed.

 

Thank you for your comment. Your comment will be published after being reviewed.
Please try again later.
We have summarized this news so that you can read it quickly. If you are interested in the news, you can read the full text here. Read more:

 /  🏆 452. in TECHNOLOGY

Technology Technology Latest News, Technology Technology Headlines

Similar News:You can also read news stories similar to this one that we have collected from other news sources.

Cell-targeting technology allows researchers to isolate neuronal subpopulations and link them to behavioral statesScientists have designed an intersectional technique for precisely targeting subpopulations of cells and parsing out specific functions.
Source: ScienceDaily - 🏆 452. / 53 Read more »