Come learn more about deep networks from graduate students Aran Nayebi and Josh Melander. Deep neural networks have emerged as a powerful and flexible class of models for brain activity and behavior. But what is the objective of these modeling efforts? Do we intend to reproduce the brain in a 1-to-1 manner, or could more abstract models serve a purpose? This session will spark discussion of the history of brain modeling, current practices, and implications for future research. Graduate students and postdocs are both encouraged to attend!
Learn more about this and upcoming Computational Neuroscience Journal Club events at https://stanford-cnjc.github.io/#/.