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Graph-native Python reimplementation of the Information Dynamics of Music (IDyOM) model that represents predictive memories as explicit graph objects for musical expectation modeling and network analysis.
Physics-aware end-to-end deep reinforcement learning methodology for quadcopter control with actuator dynamics modeling.
Reinforced Dreamer methodology for asymmetric reinforcement learning using latent guidance to improve world model representations and behaviors in model-based RL.
基于 SOC 职业分类
| name | mtt-bench-social-dominance-mice |
| description | 多模态大语言模型预测小鼠社会优势行为的基准测试框架。MLLM分析原始行为视频预测优势等级。 |
| category | neuroscience |
| source | arXiv:2604.22492 |
| published | 2026-04-24 |
| paper_url | https://arxiv.org/abs/2604.22492 |
| tags | ["animal behavior","social dominance","multimodal LLM","mouse behavior","MTT-Bench"] |
多模态大语言模型预测小鼠社会优势行为的基准测试框架。MLLM分析原始行为视频预测优势等级。
来源论文: MTT-Bench: Predicting Social Dominance in Mice via Multimodal Large Language Models
发表日期: 2026-04-24
arXiv ID: 2604.22492
核心方法论：
多模态行为分析
社会优势预测
应用领域
animal behavior, social dominance, multimodal LLM, mouse behavior, MTT-Bench
pip install torch torchvision torchaudio
pip install diffusers transformers
pip install numpy scipy matplotlib
pip install mne # EEG处理
pip install nibabel # 神经影像
# 根据具体应用场景实现
# 参考原论文的实现细节