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Article

Continuous-Time Deconvolutional Regression for Psycholinguistic Modeling

2019-08-13

Abstract excerpt

<p>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, while existing deconvolutional methods for estimating diffuse temporal structure model time discretely and therefore c...

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Literature Corpus work
1a2a250e-e31f-5888-a27b-0377c2bb8113
DOI
10.31234/osf.io/whvk5
Open publication

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Continuous-Time Deconvolutional Regression for Psycholinguistic ModelingDOI 10.31234/osf.io/whvk5
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