The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Developing a brain atlas using deep learning with Theofanis Karayannis - TWIML Talk #287
Aug 1, 2019
Theofanis Karayannis, Assistant Professor at the University of Zurich's Brain Research Institute, specializes in brain circuit development through deep learning. He discusses his path from pharmacy to neuroscience, exploring how neural circuits develop in genetically modified models. The conversation delves into sensory processing and the crucial role of inhibitory neurons. With advanced imaging and deep learning techniques, Theo shares insights on crafting detailed brain atlases and understanding neural connectivity, while also tackling the challenges of data management in this intricate field.
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Inhibitory Cell Research
- Karayannis's research focuses on inhibitory (GABAergic) cells, which regulate signal flow in the brain.
- These cells are crucial for parsing information within neural circuits.
Deep Learning for Brain Analysis
- Deep learning helps analyze cell distribution across brain regions and developmental stages.
- This approach allows for more comprehensive analysis than traditional methods.
Imaging Techniques and Deep Learning
- Karayannis uses various imaging techniques, including brain clearing (CLARITY), to create 3D images.
- He applies deep learning to analyze these images, including MRI scans.