Publication: How to say no in recognition tests of visual working memory: Testing unidimensional and two-dimensional models with continuous or discrete memory states
How to say no in recognition tests of visual working memory: Testing unidimensional and two-dimensional models with continuous or discrete memory states
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Lin, H.-Y., & Oberauer, K. (2019). How to say no in recognition tests of visual working memory: Testing unidimensional and two-dimensional models with continuous or discrete memory states. Journal of Experimental Psychology : Learning, Memory, and Cognition, 45(12), 2123–2146. https://doi.org/10.1037/xlm0000700
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We constructed 4 working memory recognition models to predict behavior in the local recognition task (also called change detection), in which both content (e.g., color) and context (e.g., location) information are necessary to make correct recognition decisions. The theoretical assumptions incorporated in the models come from crossing 2 contrasts: One is the contrast between discrete-state models with continuous-strength models. The other contrast pertains to the dimensionality of information involved in the recognition process: eithe
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Lin, H.-Y., & Oberauer, K. (2019). How to say no in recognition tests of visual working memory: Testing unidimensional and two-dimensional models with continuous or discrete memory states. Journal of Experimental Psychology : Learning, Memory, and Cognition, 45(12), 2123–2146. https://doi.org/10.1037/xlm0000700