Developing a brain atlas using deep learning with Theofanis Karayannis – TWIML Talk #287
Today we’re joined by Theofanis Karayannis, Assistant Professor at the Brain Research Institute of the University of Zurich. Theo’s research is currently focused on understanding how circuits in the brain are formed during development and modified by experiences. Working with animal models, Theo segments and classifies the brain regions, then detects cellular signals that make connections throughout and between each region. How? The answer is (relatively) simple: Deep Learning. In this episode we discuss:
Adapting DL methods to fit the biological scope of work The distribution of connections that makes neurological decisions in both animals and humans every day The way images of the brain are collected Genetic trackability, and more!