ArticlePsychological review2016
The discovery of processing stages: Extension of Sternberg's method.
Article in Psychological review, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Trial-level sequence modeling reveals hidden dynamics of dual-task interference.PLoS computational biology · 2026Article
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- Trial-by-trial detection of cognitive events in neural time-series.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Testing two-step models of negative quantification using a novel machine learning analysis of EEG.Language, cognition and neuroscience · 2024Article
- A whole-task brain model of associative recognition that accounts for human behavior and neuroimaging data.PLoS computational biology · 2023Article
- Thalamic bursts modulate cortical synchrony locally to switch between states of global functional connectivity in a cognitive task.PLoS computational biology · 2022Article
- Neural habituation enhances novelty detection: an EEG study of rapidly presented words.Computational brain & behavior · 2020Article
- Spatiotemporal analysis of event-related fMRI to reveal cognitive states.Human brain mapping · 2020Article
- Dynamics of brain activity reveal a unitary recognition signal.Journal of experimental psychology. Learning, memory, and cognition · 2019Article
- Characterizing synchrony patterns across cognitive task stages of associative recognition memory.The European journal of neuroscience · 2018Article
- The Common Time Course of Memory Processes Revealed.Psychological science · 2018Article
- Single-Trial EEG Analysis Predicts Memory Retrieval and Reveals Source-Dependent Differences.Frontiers in human neuroscience · 2018Article
- Inter-subject alignment of MEG datasets in a common representational space.Human brain mapping · 2017Article
- On the Proper Treatment of the N400 and P600 in Language Comprehension.Frontiers in psychology · 2017Article
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4 authors.
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Abstract
We introduce a method for measuring the number and durations of processing stages from the electroencephalographic signal and apply it to the study of associative recognition. Using an extension of past research that combines multivariate pattern analysis with hidden semi-Markov models, the approach identifies on a trial-by-trial basis where brief sinusoidal peaks (called bumps) are added to the ongoing electroencephalographic 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 hidden semi-Markov models multivariate pattern analysis 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 the adaptive control of thought-rational process model, called ACT-R, 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 Jacobs, Hwang, Curran, and Kahana (2006). 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 event-related potential components implicated in the study of recognition memory. (PsycINFO Database Record
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