Networks thinking themselves

After the talk, at 5.15 pm, everyone is welcome to join for a virtual "pub chat" with Prof. Danielle S. Bassett. Details on how to join the talk and the informal "pub chat" will be released via our mailing list (info on how to subscribe on

Human learners acquire not only disconnected bits of information, but complex interconnected networks of relational knowledge. The capacity for such learning naturally depends on the architecture of the knowledge network itself, and also on the architecture of the computational unit – the brain – that encodes and processes the information. Here, I will discuss emerging work assessing network constraints on the learnability of relational knowledge, and the neural correlates of that learning.