In Silico Neuroscience: Modeling the Brain Complexity

This lecture delves into the necessity of in silico neuroscience alongside in vivo and in vitro studies to comprehend the brain's complexity. Discussions revolve around the advantages of computer simulations in bridging scales, reducing costs, and enhancing experimental data value. The debate touches on the ethical considerations of animal experimentation, emphasizing the importance of continued research for brain understanding and disease treatment. The lecture also explores the distinctions between biophysical and phenomenological models, highlighting the significance of both approaches in unraveling neural mechanisms and network behaviors.