The discovery of processing stages: Extension of Sternberg's method.
The discovery of processing stages: Extension of Sternberg's method.
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DOI:
10.1037/rev0000030
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发表时间:
2016-10
影响因子:
5.4
通讯作者:
Walsh, Matthew M.
中科院分区:
文献类型:
--
作者:
Anderson, John R.;Zhang, Qiong;Borst, Jelmer P.;Walsh, Matthew M.
We introduce a method for measuring the number and durations of processing stages from the electroencephalographic (EEG) signal and apply it to the study of associative recognition. Using an extension of past research that combines multivariate pattern analysis (MVPA) with hidden semi-Markov models (HSMMs), the approach identifies on a trial-by-trial basis where brief sinusoidal peaks (called bumps) are added to the ongoing EEG signal. We propose that these bumps mark the onset of critical cognitive stages in processing. The results of the analysis can be used to guide the development of detailed process models. Applied to the associative recognition task, the HSMM-MVPA method indicates that the effects of associative strength and probe type are localized to a memory retrieval stage and a decision stage. This is in line with a previously developed ACT-R process model of the task. As a test of the generalization of our method we also apply it to a data set on the Sternberg working memory task collected by. The analysis generalizes robustly, and localizes the typical set size effect in a late comparison/decision stage. In addition to providing information about the number and durations of stages in associative recognition, our analysis sheds light on the ERP components implicated in the study of recognition memory.
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