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What does the mind learn? A comparison of human and machine learning representations
2019
Current Opinion in Neurobiology
We present a brief review of modern machine learning techniques and their use in models of human mental representations, detailing three notable branches: spatial methods, logical methods and artificial neural networks. Each of these branches contains an extensive set of systems, and demonstrate accurate emulations of human learning of categories, concepts and language, despite substantial differences in operation. We suggest that continued applications will allow cognitive researchers the
doi:10.1016/j.conb.2019.02.004
pmid:30870615
fatcat:rjt647hyyzdotmdpiw7cfdo2ke