Department of Experimental Psychology
University of Oxford
I will discuss work that asks how humans encode and mentally reconfigure knowledge of the world. We study neural geometry in BOLD signals while humans learn new relations among objects and events, and compare these to deep networks performing equivalent tasks. I will discuss theories of how knowledge is partitioned to avoid interference (continual learning) and how it is reconfigured in the light of just a few new samples of information (knowledge assembly). I will argue that we can use small, toy connectionist models to gain insights into how representations are formed, and how these are used for intelligent behaviour.
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