Create README.md

README.md

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+---
+license: mit
+tags:
+- world-model
+- video-prediction
+- hippocampus
+- entorhinal-cortex
+- representation-learning
+---
+
+# HPC-MEC World Model
+
+This repository hosts pretrained checkpoints for **Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model**.
+
+The model is a hippocampal-entorhinal inspired world model that learns reusable transition structures from observation-only videos. It separates content-rich episodic representations from compact abstract dynamics, and uses velocity-like latent transitions for prediction and structural generalization across objects and scenes.
+
+## Paper
+
+**Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model**  
+Tianqiu Zhang*, Muyang Lyu*, Xiao Liu, Si Wu  
+ICML 2026
+
+- Paper: https://arxiv.org/abs/2605.15733
+- Project page: https://hpc-mec-worldmodel.github.io/
+
+## Code
+
+The training and evaluation code is available at:
+
+https://github.com/senngadaisuki/hpc-mec-worldmodel
+
+## Usage
+
+Please see the GitHub repository for installation, checkpoint loading, training, and evaluation instructions.
+
+## Citation
+
+```bibtex
+@inproceedings{zhang2026structure,
+  title = {Structure Abstraction and Generalization in a Hippocampal-Entorhinal Inspired World Model},
+  author = {Zhang, Tianqiu and Lyu, Muyang and Liu, Xiao and Wu, Si},
+  booktitle = {Forty-third International Conference on Machine Learning},
+  year = {2026},
+  url = {https://openreview.net/forum?id=AYXgo5FjYz}
+}