A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Network architectures supporting learnability
2020
Philosophical Transactions of the Royal Society of London. Biological Sciences
Human learners acquire complex interconnected networks of relational knowledge. The capacity for such learning naturally depends on two factors: the architecture (or informational structure) of the knowledge network itself and the architecture of the computational unit—the brain—that encodes and processes the information. That is, learning is reliant on integrated network architectures at two levels: the epistemic and the computational, or the conceptual and the neural. Motivated by a wish to
doi:10.1098/rstb.2019.0323
pmid:32089113
pmcid:PMC7061954
fatcat:jc6t6digbjb7pokat4cedxbczi