

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.
AI Snips
Chapters
Transcript
Episode notes
Non-Linear Path to Neuroscience
- Theofanis Karayannis initially studied pharmacy before transitioning to neuroscience research.
- His interest in brain science grew during his later pharmacy studies.
Brain Circuit Development Research
- Karayannis's research focuses on brain circuit development, particularly in the cortex.
- He uses mice to study how circuits form and adapt to experience.
Cortex Organization
- Sensory regions in the cortex are spatially organized, processing specific sensory inputs like vision and touch.
- Information from these regions converges to form cohesive perceptions and behavioral responses.