• Machine learning-based automatic classification of sleep/wake states:
  We have implemented the SPINDLE (Sleep Phase Identification with Neural Networks for Domain-Invariant Learning) toolkit and uploaded our lab's model weights, configuration files, functional code base, and GUI for training your own models to the AER-lab GitHub.

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Detect Any Mouse Model (DAMM):
An object detector for localizing multiple animals within complex social and environmental settings [project page]

• DAMM excels in zero-shot inference, detecting mice, and even rats, in entirely unseen scenarios and further improves with minimal additional training.

• We have made DAMM accessible to the scientific community through a user-friendly Python API, shared model weights, and a Google Colab implementation.

• You can use our system and model without needing specialized hardware or extensive coding experience.

• 3D print file for Neurologer protective enclosure

• Details and 3D print files for the ‘Immersive Social Interactions Assay (ISIA)’ apparatus