arXiv (All)
open access
MouseGPT: A Large-scale Vision-Language Model for Mouse Behavior Analysis
Analyzing animal behavior is crucial in neuroscience, yet deciphering its intricate dynamics remains challenging. Traditional machine vision approaches detect spontaneous behaviors but are constrained by limited interpretability and reliance on manual labeling, restricting exploration of the full be
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Behaviorally-relevant features of observed actions dominate cortical representational geometry in natural vision.#1415634
- LINE: LLM-based Iterative Neuron Explanations for Vision Models#2628
- Act with Intent: Distilling Behavior Intent for Vision-Language-Action Models#482169
- Catellect-VL-2B: A Vision-Language Model for Edge-Based Feline Behavior Understanding#998346
- Less Language, More Latents: Annotation-Efficient VLAs for Driving#1064291
Record · ID 1446667
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive