Neural representation of newly instructed rule identities during early implementation trials
By following explicit instructions, humans instantaneously get the hang of tasks they have never performed before. We used a specially calibrated multivariate analysis technique to uncover the elusive representational states during the first few implementations of arbitrary rules such as ‘for coffee...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
eLife Sciences Publications Ltd
2019-11-01
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Series: | eLife |
Subjects: | |
Online Access: | https://elifesciences.org/articles/48293 |