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In this chapter, we briefly review a technique that we call the “temporal generalization method” (king and dehaene 2014), which clarifies how multiple processing stages and their corresponding neural codes unfold over time Parsing a cognitive task into a sequence of operations is a central problem in cognitive neuroscience By testing at which moment a specific mental content becomes. Keywords decoding, eeg, meg, temporal generalization, serial processing, parallel processing, multivariate pattern analyses
Details title characterizing the dynamics of mental representations The temporal generalization method characterizing the dynamics of mental representations The temporal generalization method (tgm) is a data analysis technique that can be used to test if the brain’s representation for particular stimuli (e.g 2014 characterizing the dynamics of mental representations
10.1016/j.tics.2014.01.002) this article is published in trends in cognitive sciences The article was published on 01 apr 2014 And is currently open access The article focuses on the topics
Cognitive neuroscience & mental representation. We used the temporal generalization method (tgm) (dehaene and king 2016 Fyshe 2020) to track the temporal stability of the brain’s timescale representations during word processing. King and dehaene, 2014), which allows investigators to examine how the neural representation of information content is unfolded over time, testing whether a pattern of neural activity identified in a specific time window is.
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