Description
Chair: Matthias Kaschube
Brain network simulations enable us to understand how different entities in the brain interact to generate function. Moreover, such computational model simulations provide means of understanding principles of cognition and causes of performance variability across individuals. Importantly, personalized brain network avatars hold the potential for a multitude of clinical applications to improve...
I will show using examples that many neural circuits and computational algorithms of the brain perform efficiently amid severe resource constraints. By extension, I will argue that the processes we call cognition and learning are only needed because of these limitations: circuits of the brain must adaptively infer minimal summaries, syntheses and approximations of the world. These...
