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## Welcome to the Mathis Lab of Adaptive Motor Control 👋
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## Welcome to the Mathis Lab 👋
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We are a team of neuroscientists, computer scientists and enigneers that come together to tackle one of the largest challanges in neuroscience - how does the brain drive adaptive behavior.
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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”.
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We are a team of neuroscientists, computer scientists and enigneers that come together to tackle one of the largest challanges in neuroscience - how does the brain drive adaptive behavior.
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Check out our [website for more information](http://www.mackenziemathislab.org/), and see our open source code below!
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Of particular interest:
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-[DeepLabCut](https://github.com/DeepLabCut/DeepLabCut): for animal pose estimation
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-[CEBRA](https://github.com/AdaptiveMotorControlLab/CEBRA): for supervised and unsupervised dimensionality reduction (behavioral data, neural, or both!)
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-[cellseg3D](https://github.com/AdaptiveMotorControlLab/CellSeg3d): for 3D mesoSPIM segmentation of soma
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-[cellseg3D](https://github.com/AdaptiveMotorControlLab/CellSeg3d): for 3D mesoSPIM segmentation of cell soma
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