[feat] adding explanations

README.md

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-license: gpl-3.0
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+---
+license: gpl-3.0
+---
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+# Pre-trained Deep Learning Segmentation Models for ACE Pipeline  
+
+## AI-based Cartography of Ensembles (ACE) Pipeline Highlights  
+
+- Cutting-edge vision transformer and CNN-based deep learning architectures trained on large LSFM datasets to map brain-wide local/laminar neuronal activity.  
+- Optimized cluster-wise statistical analysis with a threshold-free enhancement approach to chart subpopulation-specific effects at the laminar and local levels, without restricting the analysis to atlas-defined regions.  
+- Modules for providing deep learning model uncertainty estimates and fine-tuning.  
+- Interface with [MIRACL](https://miracl.readthedocs.io/en/latest/index.html) registration.  
+- Ability to map the connectivity between clusters of activations.  
+
+📖 **Read the full article here:** [LINK](https://www.nature.com/articles/s41592-024-02583-1)  
+
+🔗 **MIRACL Software:** [LINK](https://miracl.readthedocs.io/en/latest/index.html)  
+
+🔗 **ACE Installation Page:** [LINK](https://miracl.readthedocs.io/en/latest/tutorials/workflows/ace_flow/ace_flow.html)