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Social-Seq Project 🐭

Language 🌐: 中文 | English

Welcome to the Social-Seq project! This is a system for analyzing multi-animal classification, 3D pose reconstruction, social behavior recognition, and social sequence labeling during close animal interactions. Through constructing a real-time closed-loop optogenetic intervention system, this project has potential applications in treating social deficits in autism spectrum disorder (ASD). ✨

Code download, Tutorial and Documentation 🔗

Released Data 📅

Last update 2026-8-9, ChenXinfeng

Citations 📚

Xinfeng Chen; Xianming Tao; Zhenchao Zhong; Yuanqing Zhang; Yixuan Li; Ye Ouyang; Zhaoyi Ding; Min An; Miao Wang; Ying Li* (2025). Decoding the Valence of Developmental Social Behavior: Dopamine Governs Social Motivation Deficits in Autism. Under review. [PDF download]

Xinfeng Chen 陈昕枫(2025). Deep Learning-Based Framework for Analyzing Free Social Behavior in Model Animals. PhD Thesis, Peking University.

License

This project is licensed under the MIT License. You are free to use, modify, and distribute the code as long as you include the original copyright notice and this permission notice in all copies or substantial portions of the Software.

Corresponding Author 📬

Ying Li 李莹, Chinese Institute for Brain Research, Beijing, China

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