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knowledge networks

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SeminarNeuroscience

Networks thinking themselves

Danielle S. Bassett
University of Pennsylvania & the Santa Fe Institute
Jul 3, 2020

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.

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January 2026
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