Modeling the Brain: From Behavior to Structure

The chapter discusses the process of modeling the brain at various levels, starting from behavioral modeling without neural representations to incorporating structural aspects of the brain's architecture. It addresses the challenges and debates surrounding brain modeling and emphasizes the importance of understanding brain system implementation for tackling mental health issues. The intersection of neuroscience, AI, and machine learning is explored, highlighting the evolution of deep learning and artificial neural networks inspired by the brain's computational mechanisms.