ArticleJournal of mathematical psychology2022
Adaptive Design Optimization for a Mnemonic Similarity Task.
Article in Journal of mathematical psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Cognitive modeling of lure discriminability in the Mnemonic Similarity Task.Behavior research methods · 2025Article
- Bayesian Modeling of the Mnemonic Similarity Task Using Multinomial Processing Trees.Behaviormetrika · 2023Article
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Authors and funding
3 authors.
Funding
Abstract
The Mnemonic Similarity Task (MST: Stark et al., 2019) is a modified recognition memory task designed to place strong demand on pattern separation. The sensitivity and reliability of the MST make it an extremely valuable tool in clinical settings, where it has been used to identify hippocampal dysfunction associated with healthy aging, dementia, schizophrenia, depression, and other disorders. As with any test used in a clinical setting, it is especially important for the MST to be administered as efficiently as possible. We apply adaptive design optimization methods (Lesmes et al., 2015; Myung et al., 2013) to optimize the presentation of test stimuli in accordance with previous responses. This optimization is based on a signal-detection model of an individual's memory capabilities and decision-making processes. We demonstrate that the adaptive design optimization approach generally reduces the number of test stimuli needed to provide these measures.
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Registered trials
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