NeuronDiscover: Agent-in-Twin for Mechanistic Discovery in Neuronal Microenvironments with World Action Models
cs.LG, q-bio.NC
Submitted: 2026-09-28
Updated: 2026-10-14
Comments: 54 pages
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Reconstruction of glymphatic transport fields from subject-specific imaging data, with particular emphasis on cerebrospinal fluid flow and tracer conservation
- Are LLMs Ready for Neural-integrated Mechanistic Modeling? A Benchmark and Agentic Framework
- Latent Geometry Beyond Search: Amortizing Planning in World Models
- On the importance of structural identifiability for machine learning with partially observed dynamical systems
- Online Bayesian Experimental Design for Partially Observed Dynamical Systems
- Is the Future Compatible? Diagnosing Dynamic Consistency in World Action Models
- ACID: Action Consistency via Inverse Dynamics for Planning with World Models
- World Action Models: The Next Frontier in Embodied AI
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