In Silico Neuroscience: Modern Approaches and Applications

This lecture introduces a synthesis of modern neuroscience and cutting-edge data management, modeling, and computing technologies. It covers fundamental structural and functional building blocks of the mammalian brain, teaching applied biophysical modeling for each block. The course showcases applications of these approaches in modern neuroscience, emphasizing computational thinking applied to neuroscience. Students will engage in interactive discussions, group work on exercises, and weekly assignments. The lecture also discusses the importance of computational models in understanding the brain, emphasizing the need for validation and verification. Various modeling approaches, from biophysical to phenomenological, and hypothesis-driven to data-driven models, are explored. The lecture concludes with a summary highlighting the significance of computational models in unraveling the complexities of the brain.