AI has made significant contributions to the field of neuroimaging, revolutionizing the way medical professionals analyze and interpret complex brain images. In addition, brain information processing principles can be now implemented in novel neural network computational models. This seminar series is to bring an international multidisciplinary community of neuroscientists to explore recent advances in the data-driven approaches to challenging problems arising in the context of mental health and neurodegenerative disorders. The series also offers seminars on how to create new biological, physical and computational models that bridge the significant gaps between brain science and AI.

CILO-1: Students will be able to recognize whether artificial neural networks might have something to tell us about how our brains work. CILO-2: Students will be able to describe how speakers working at intersection of neuroscience, cognition, and how artificial intelligence attempt to use artificial neural networks as models of the brain. CILO-3: Students will be able to identify the brain-inspired approach to building AI systems. CILO-4: Student will be able to describe a multiplicity of approaches and interests at the intersection of neuro and AI. CILO-5: Students will be able to discuss how AI could lead to a better understanding of the brain.