#neuroscience #AIForScience 🧪

We hope that the framework we presented in this paper will serve as a blueprint for building future AI agents for science.
6/6

A demo video for Novel Object Recognition Test commonly used in neuroscience:
youtube.com/watch?v=N4T4...
5/6

In addition to operating in autonomous mode, BehaveAgent also supports human-AI collaboration, assisting researchers in addressing specific questions, suggesting, designing and executing appropriate analyses.
4/6

- It enables spatial and temporal goal-oriented behavior segmentation.
- It generates and runs code for specific analysis.
- It generates deep-research reports.
3/6

BehaveAgent can autonomously identify experimental paradigms, create goals and objectives for a focused analysis, detect relevant features, and track them without requiring the fine-tuning of supervised models, thanks to visual grounding and other VLM models.
2/6

I wish that I was able to convince the students in my class that the ultimate goal of science isn't accumulation of facts but the compression of facts into theories. Mel summarizes it well here:
www.nature.com/articles/nn1...
Unfortunately, I think this is a minority viewpoint within neuroscience.