We propose the Mouse vs. AI: Robust Foraging Competition at NeurIPS ‘25, a novel bioinspired visual robustness benchmark to test generalization in reinforcement learning (RL) agents trained to navigate a virtual environment toward a visually cued target.
Topic: NeuroAI
Researchers Interested in This Topic
Michael Beyeler
Associate Professor
CS
Yuchen Hou
PhD Candidate
DYNS
Lucas Nadolskis
PhD Student
CS
Galen Pogoncheff
PhD Candidate
ICB
Marius Schneider
Postdoctoral Researcher
Research Projects
Mouse vs. AI: A neuroethological benchmark for visual robustness and neural alignment
Marius Schneider, Joe Canzano, Jing Peng, Yuchen Hou, Spencer LaVere Smith, Michael Beyeler arXiv:2509.14446
NeuroAI Models of the Visual System
Understanding the visual system in health and disease is a key issue for neuroscience and neuroengineering applications such as visual prostheses.
Event-Based Vision at the Edge
Neuromorphic event-based vision sensors may soon power low vision aids and retinal implants, where the visual scene has to be processed quickly and efficiently before it is displayed.
