Complex Networks and Applications to Neuroscience - Class 1
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore complex networks and their applications to neuroscience in this comprehensive lecture, the first of a three-part series delivered by Jesús Gomez-Gardeñes from Universidad de Zaragoza, Spain. Delve into the intricate world of network science and its relevance to understanding brain function and structure. Learn about the fundamental concepts of complex networks, their properties, and how they can be applied to model and analyze neural systems. Discover how network theory provides powerful tools for investigating brain connectivity, information processing, and neurological disorders. Gain insights into cutting-edge research that combines network science with neuroscience to unravel the complexities of the human brain. This lecture is part of the School on Nonlinear Dynamics, Complex Networks, Information Theory and Machine Learning in Neuroscience organized by ICTP-SAIFR, offering a unique opportunity to explore interdisciplinary approaches in neuroscience research.