Can we do without distributed models? Not in artificial grammar learning
2000 ◽
Vol 23
(4)
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pp. 484-484
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Keyword(s):
Page argues that localist models can be applied to a number of problems that are difficult for distributed models. However, it is easy to find examples where the opposite is true. This commentary illustrates the superiority of distributed models in the domain of artificial grammar learning, a paradigm widely used to investigate implicit learning.
1994 ◽
Vol 17
(3)
◽
pp. 367-395
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2017 ◽
Vol 225
(1)
◽
pp. 5-19
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2014 ◽
Vol 35
(7)
◽
pp. 1457-1472
◽
2012 ◽
Vol 119
(9)
◽
pp. 999-1010
◽
2009 ◽
Vol 21
(1)
◽
pp. 129-160
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Keyword(s):
2004 ◽
Vol 16
(3)
◽
pp. 427-438
◽
2006 ◽
Vol 28
(5)
◽
pp. 808-827
◽
2003 ◽
Vol 56
(1)
◽
pp. 125-130
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