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 registration.
  • Ability to map the connectivity between clusters of activations.

πŸ“– Read the full article here: LINK

πŸ”— MIRACL Software: LINK

πŸ”— ACE Installation Page: LINK

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