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Data for Orthographic priming from unrelated primes: heterogeneous feedforward inhibition predicted by associative learning
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Adelman, James S. and Trifonova, Iliyana V. (2022) Data for Orthographic priming from unrelated primes: heterogeneous feedforward inhibition predicted by associative learning. [Dataset]
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Official URL: https://osf.io/htcqn/
Abstract
A common assumption among models of orthographic processing is that letter-word inhibitory relationships all share the same strength: activity in the letter B has the same impact on a word like RACE as does equivalent activity in the letter F. However, basic associative learning mechanisms imply that the existence of the neighbor word FACE gives more opportunity to learn a negative weight from the neighbor letter F than from the non-neighbor letter B, leading to stronger negative letter-word weights for neighbor than non-neighbor letters. In masked primed lexical decision, therefore, fity, a neighborly prime formed using neighbor letters, should be a more inhibitory prime for RACE than bund (vice versa for LARK). We present simulations of weight learning using Rescorla and Wagner’s (1972) equations and three experiments consistent with this prediction. Further simulations show heterogeneous feedforward connections from letters to words could contribute to phenomena previously attributed to lexical competition.
Item Type: | Dataset | ||||||
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Subjects: | B Philosophy. Psychology. Religion > BF Psychology P Language and Literature > P Philology. Linguistics |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Psychology | ||||||
Type of Data: | Simulation code and experimental data | ||||||
Library of Congress Subject Headings (LCSH): | Language and languages -- Orthography and spelling -- Research, Lexical grammar, Masked priming -- Research, Paired-association learning | ||||||
Publisher: | University of Warwick, Department of Psychology | ||||||
Official Date: | 11 August 2022 | ||||||
Dates: |
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Status: | Not Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Media of Output (format): | .rtf, .txt, .R, .azk, .cpp, .hpp, .xlsx | ||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||
Copyright Holders: | University of Warwick | ||||||
Description: | Simulation code (C++) and results, DMDX experimental files, experimental data, and R code for experimental data analysis |
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