Continuous-time deconvolutional regression for psycholinguistic modeling
The influence of stimuli in psycholinguistic experiments diffuses across time because the human response to language is not instantaneous. The linear models typically used to analyze psycholinguistic data are unable to account for this phenomenon due to strong temporal independence assumptions, whil...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier B.V.
2021
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Subjects: | |
Online Access: | View Fulltext in Publisher |