We are a team of neuroscientists, computer scientists, and enigneers that come together to tackle one of the largest challanges in science - how does the brain drive adaptive behavior. Namely, our world is always changing: how do our brains adapt? We develop new machine learning methods that enable us to understand the mechanisms underlying adaptive behavior in intelligence systems, aka “adaptive intelligence”.
- From 2017-2023 we were also called the Adaptive Motor Control Lab (hence the org name!) but decided to rename ourselves to the M-Lab of Adaptive Intelligence (M for Mackenzie 💙) to better reflect our ML, CV, and systems neuro sides of the lab 🖤. We still really like sensorimotor control though!
Check out our website for more information, and see our open source code below!
Of particular interest:
- DeepLabCut: for animal pose estimation.
- DLC2Kinematics for processing DeepLabCut data for kinematic analysis.
- CEBRA: for supervised and unsupervised dimensionality reduction (behavioral data, neural, or both!).
- AmadeusGPT: for using large language models as systems for behavioral analysis.
- CellSeg3D: for 3D mesoSPIM segmentation of cell soma.
