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Xie, X., Liu, L., & Jaeger, T. F. (2021-JEP:G). Cross-talker generalization in the perception of non-nativespeech: a large-scale replication ...
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What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach
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Abstract:
Cognitive network science is an emerging approach that uses the mathematical tools of network science to map the relationships among representations stored in memory to examine how that structure might influence processing. In the present study, we used computer simulations to compare the ability of a well-known model of spoken word recognition, TRACE, to the ability of a cognitive network model with a spreading activation-like process to account for the findings from several previously published behavioral studies of language processing. In all four simulations, the TRACE model failed to retrieve a sufficient number of words to assess if it could replicate the behavioral findings. The cognitive network model successfully replicated the behavioral findings in Simulations 1 and 2. However, in Simulation 3a, the cognitive network did not replicate the behavioral findings, perhaps because an additional mechanism was not implemented in the model. However, in Simulation 3b, when the decay parameter in spreadr was manipulated to model this mechanism the cognitive network model successfully replicated the behavioral findings. The results suggest that models of cognition need to take into account the multi-scale structure that exists among representations in memory, and how that structure can influence processing.
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Keyword:
Cognitive network; Computer simulation; Network science; One-phoneme metric; Phonological neighbors; Phonology; Spoken word recognition; TRACE
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URL: http://hdl.handle.net/1808/32508 https://doi.org/10.3390/brainsci11121628 https://orcid.org/ 0000-0002-4911-0150 https://orcid.org/ 0000-0002-1209-0838
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The Effect of Orthographic Transparency on Auditory Word Recognition Across the Development of Reading Proficiency
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In: ISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.archives-ouvertes.fr/hal-03340208 ; Frontiers in Psychology, Frontiers, 2021, 12, ⟨10.3389/fpsyg.2021.691989⟩ (2021)
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COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
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In: ISSN: 1662-5137 ; Frontiers in Systems Neuroscience ; https://hal.archives-ouvertes.fr/hal-03318691 ; Frontiers in Systems Neuroscience, Frontiers, 2021, 15, pp.653975. ⟨10.3389/fnsys.2021.653975⟩ (2021)
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Online activation of L1 Danish orthography enhances spoken word recognition of Swedish
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In: ISSN: 0332-5865 ; Nordic Journal of Linguistics ; https://hal-amu.archives-ouvertes.fr/hal-03283527 ; Nordic Journal of Linguistics, 2021, pp.1-19. ⟨10.1017/S0332586521000056⟩ (2021)
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The representation of variable tone sandhi patterns in Shanghai Wu
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In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 12, No 1 (2021); 15 ; 1868-6354 (2021)
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What Do Cognitive Networks Do? Simulations of Spoken Word Recognition Using the Cognitive Network Science Approach
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In: Brain Sciences; Volume 11; Issue 12; Pages: 1628 (2021)
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Data for: 'Differences between morphological and repetition priming in auditory lexical decision' ...
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Data for: 'Differences between morphological and repetition priming in auditory lexical decision' ...
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Methodological and Theoretical Extensions to the TRACE Model of Spoken Word Recognition
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In: Honors Scholar Theses (2021)
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F0 Slope and Mean: Cues to Speech Segmentation in French
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In: Interspeech 2020 ; https://hal.archives-ouvertes.fr/hal-03042331 ; Interspeech 2020, Oct 2020, Shanghai, China. pp.1610-1614, ⟨10.21437/Interspeech.2020-2509⟩ (2020)
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DOI: http://dx.doi.org/10.17632/btfx5pw2rm.2#file-671c7b82-253e-465c-8844-b557e3b72b78 ...
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DOI: http://dx.doi.org/10.17632/btfx5pw2rm.2#file-671c7b82-253e-465c-8844-b557e3b72b78 ...
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Computational modelling of an auditory lexical decision experiment using jTRACE and TISK
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Computational Modelling of Spoken Word Recognition in the Auditory Lexical Decision Task
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Nenadić, Filip. - : University of Alberta. Department of Linguistics., 2020
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