This article presents a dynamic network model of redintegration and response suppression. Redintegration is the process that disambiguates partially retrieved memorial information into an overt response, and response suppression renders retrieved items temporarily unavailable for further report. Most models of serial recall assume the presence of both processes, but few explain how they are performed. Exploration of the network revealed that it can predict recency in serial recall of lists of varying lengths, the pattern of the associated transposition, omission, intrusion, and repetition errors, and the temporal dynamics of retrieval. The network thus augments any existing model of serial recall that assumes a distributed vector representation but does not specify the processes underlying redintegration and response suppression.
|Number of pages||13|
|Journal||International Journal of Psychology|
|Publication status||Published - Oct 1999|