Complex Networks and Applications to Neuroscience - Class 2

Explore complex networks and their applications to neuroscience in this second lecture of a three-part series delivered by Jesús Gomez-Gardeñes from Universidad de Zaragoza, Spain. Delve into advanced concepts and methodologies as part of the School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience hosted by ICTP-SAIFR. Gain insights into the intricate relationships between network theory and brain function, building upon the foundations established in the first lecture. Expand your understanding of how complex network analysis can shed light on neurological processes and contribute to advancements in neuroscientific research.