Does signal reduction imply predictive coding in models of spoken word recognition?
Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many...
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| Vydané v: | Psychonomic bulletin & review Ročník 28; číslo 4; s. 1381 - 1389 |
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| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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01.08.2021
Springer Nature B.V |
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| ISSN: | 1069-9384, 1531-5320, 1531-5320 |
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| Abstract | Pervasive behavioral and neural evidence for
predictive processing
has led to claims that language processing depends upon
predictive coding.
Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we show that despite not explicitly implementing prediction, the TRACE model of speech perception exhibits this putative hallmark of predictive coding, with reductions in total lexical activation, total lexical feedback, and total phoneme activation when the input conforms to expectations. These findings may indicate that interactive activation is functionally equivalent or approximant to predictive coding or that caution is warranted in interpreting neural signal reduction as diagnostic of predictive coding. |
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| AbstractList | Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we show that despite not explicitly implementing prediction, the TRACE model of speech perception exhibits this putative hallmark of predictive coding, with reductions in total lexical activation, total lexical feedback, and total phoneme activation when the input conforms to expectations. These findings may indicate that interactive activation is functionally equivalent or approximant to predictive coding or that caution is warranted in interpreting neural signal reduction as diagnostic of predictive coding. Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we show that despite not explicitly implementing prediction, the TRACE model of speech perception exhibits this putative hallmark of predictive coding, with reductions in total lexical activation, total lexical feedback, and total phoneme activation when the input conforms to expectations. These findings may indicate that interactive activation is functionally equivalent or approximant to predictive coding or that caution is warranted in interpreting neural signal reduction as diagnostic of predictive coding.Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we show that despite not explicitly implementing prediction, the TRACE model of speech perception exhibits this putative hallmark of predictive coding, with reductions in total lexical activation, total lexical feedback, and total phoneme activation when the input conforms to expectations. These findings may indicate that interactive activation is functionally equivalent or approximant to predictive coding or that caution is warranted in interpreting neural signal reduction as diagnostic of predictive coding. Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally, predictive coding is a computational mechanism where only deviations from top-down expectations are passed between levels of representation. In many cognitive neuroscience studies, a reduction of signal for expected inputs is taken as being diagnostic of predictive coding. In the present work, we show that despite not explicitly implementing prediction, the TRACE model of speech perception exhibits this putative hallmark of predictive coding, with reductions in total lexical activation, total lexical feedback, and total phoneme activation when the input conforms to expectations. These findings may indicate that interactive activation is functionally equivalent or approximant to predictive coding or that caution is warranted in interpreting neural signal reduction as diagnostic of predictive coding. |
| Author | Luthra, Sahil Li, Monica Y. C. You, Heejo Brodbeck, Christian Magnuson, James S. |
| Author_xml | – sequence: 1 givenname: Sahil surname: Luthra fullname: Luthra, Sahil email: sahil.luthra@uconn.edu organization: Department of Psychological Sciences, University of Connecticut, Connecticut Institute for the Brain and Cognitive Sciences – sequence: 2 givenname: Monica Y. C. surname: Li fullname: Li, Monica Y. C. organization: Department of Psychological Sciences, University of Connecticut, Connecticut Institute for the Brain and Cognitive Sciences – sequence: 3 givenname: Heejo surname: You fullname: You, Heejo organization: Department of Psychological Sciences, University of Connecticut – sequence: 4 givenname: Christian surname: Brodbeck fullname: Brodbeck, Christian organization: Department of Psychological Sciences, University of Connecticut – sequence: 5 givenname: James S. surname: Magnuson fullname: Magnuson, James S. organization: Department of Psychological Sciences, University of Connecticut, Connecticut Institute for the Brain and Cognitive Sciences, BCBL, Basque Center on Cognition Brain and Language, Ikerbasque, Basque Foundation for Science |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/33852158$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_3758_s13414_024_02849_y crossref_primary_10_1016_j_tics_2023_08_003 crossref_primary_10_1016_j_brainres_2021_147578 crossref_primary_10_1038_s41467_024_53782_5 crossref_primary_10_1016_j_cognition_2022_105050 crossref_primary_10_1016_j_neuroimage_2024_120977 crossref_primary_10_1162_imag_a_00131 |
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| Keywords | computational models prediction spoken word recognition cognitive neuroscience |
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| Snippet | Pervasive behavioral and neural evidence for
predictive processing
has led to claims that language processing depends upon
predictive coding.
Formally,... Pervasive behavioral and neural evidence for predictive processing has led to claims that language processing depends upon predictive coding. Formally,... |
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| Title | Does signal reduction imply predictive coding in models of spoken word recognition? |
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