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Prof.
University of Pennsylvania & the Santa Fe Institute
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Schedule
Friday, July 3, 2020
4:00 PM Europe/London
Domain
NeuroscienceHost
Cortex Club
Duration
70 minutes
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.
Danielle S. Bassett
Prof.
University of Pennsylvania & the Santa Fe Institute
neuro
Nervous system function relies on the polarized architecture of neurons, established by directional transport of pre- and postsynaptic cargoes. While delivery of postsynaptic components depends on the
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