Does signal reduction imply predictive coding in models of spoken word recognition?
Does signal reduction imply predictive coding in models of spoken word recognition?
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DOI:
10.3758/s13423-021-01924-x
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发表时间:
2021-08
影响因子:
3.5
通讯作者:
Magnuson JS
中科院分区:
文献类型:
--
作者:
Luthra S;Li MYC;You H;Brodbeck C;Magnuson JS
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. The online version contains supplementary material available at 10.3758/s13423-021-01924-x.
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DOI:
10.1098/rstb.2009.0111
发表时间:
2009-12-27
期刊:
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
影响因子:
--
作者:
Davis MH;Gaskell MG
通讯作者:
Gaskell MG
影响因子:
3.4
作者:
Altmann, GTM;Kamide, Y
通讯作者:
Kamide, Y
影响因子:
64.8
作者:
KUTAS, M;HILLYARD, SA
通讯作者:
HILLYARD, SA
影响因子:
5.7
作者:
Aitchison L;Lengyel M
通讯作者:
Lengyel M
影响因子:
2.6
作者:
MCCLELLAND, JL;ELMAN, JL
通讯作者:
ELMAN, JL