No Evidence for an Item Limit in Change Detection

@inproceedings{Keshvari2013NoEF,
  title={No Evidence for an Item Limit in Change Detection},
  author={Shaiyan Keshvari and Ronald Van den Berg and Wei Ji Ma},
  booktitle={PLoS Computational Biology},
  year={2013}
}
Change detection is a classic paradigm that has been used for decades to argue that working memory can hold no more than a fixed number of items ("item-limit models"). Recent findings force us to consider the alternative view that working memory is limited by the precision in stimulus encoding, with mean precision decreasing with increasing set size ("continuous-resource models"). Most previous studies that used the change detection paradigm have ignored effects of limited encoding precision by… CONTINUE READING
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