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Modeling implicit learning in a cross-modal audio-visual serial reaction time task
Taesler, Philipp1; Jablonowski, Julia1; Fu, Qiufang2; Rose, Michael1
通讯作者Taesler, Philipp(p.taesler@uke.de)
2019-05-01
发表期刊COGNITIVE SYSTEMS RESEARCH
ISSN1389-0417
卷号54页码:154-164
摘要This study examined implicit learning in a cross-modal condition, where visual and auditory stimuli were presented in an alternating fashion. Each cross-modal transition occurred with a probability of 0.85, enabling participants to gain a reaction time benefit by learning the cross-modal predictive information between colors and tones. Motor responses were randomly remapped to ensure that pure perceptual learning took place. The effect for the implicit learning was extracted from the data by fitting five different models to the data, which was highly variable due to motor variability. To examine individual learning rates for stimulus types of different discriminability and modality, the models were fitted per stimulus type and individually for each participant. The model selection identified the model that included motor variability, surprise effects for deviants and a serial position for effect onset as the most explanatory (Akaike weight 0.87). Further, there was a significant global cross-modal implicit learning effect for predictable versus deviant transitions (40 ms reaction time difference, p < 0.004). The learning rates over time differed for both modality and the stimuli within modalities, although there was no correlation to global error rates or reaction time differences between the stimulus types. These results demonstrate a modeling method that is well suited to extract detailed information about the success of implicit learning from high variability data. It further shows a cross-modal implicit learning effect, which extends the understanding of the implicit learning system and highlights the possibility for information to be processed in a cross-modal representation without conscious processing. (C) 2018 Elsevier B.V. All rights reserved.
关键词Implicit learning Cross-modal Modeling Serial reaction time task Audio-visual
DOI10.1016/j.cogsys.2018.10.002
收录类别SCI
语种英语
项目资助者German Research Foundation DFG Crossmodal Learning: Adaptivity, Prediction and Interaction
资助项目German Research Foundation DFG Crossmodal Learning: Adaptivity, Prediction and Interaction[TRR 169]
WOS研究方向Computer Science ; Neurosciences & Neurology ; Psychology
WOS类目Computer Science, Artificial Intelligence ; Neurosciences ; Psychology, Experimental
WOS记录号WOS:000455740800012
出版者ELSEVIER SCIENCE BV
关键词[WOS]MECHANISMS ; SEQUENCES ; SELECTION ; EXPLICIT
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文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/27768
专题脑与认知科学国家重点实验室
通讯作者Taesler, Philipp
作者单位1.Univ Med Ctr Hamburg Eppendorf, Inst Syst Neurosci, Martinistr 52,Bldg W34,320b, Hamburg, Germany
2.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing, Peoples R China
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Taesler, Philipp,Jablonowski, Julia,Fu, Qiufang,et al. Modeling implicit learning in a cross-modal audio-visual serial reaction time task[J]. COGNITIVE SYSTEMS RESEARCH,2019,54:154-164.
APA Taesler, Philipp,Jablonowski, Julia,Fu, Qiufang,&Rose, Michael.(2019).Modeling implicit learning in a cross-modal audio-visual serial reaction time task.COGNITIVE SYSTEMS RESEARCH,54,154-164.
MLA Taesler, Philipp,et al."Modeling implicit learning in a cross-modal audio-visual serial reaction time task".COGNITIVE SYSTEMS RESEARCH 54(2019):154-164.
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