This article presents a dynamic network model of redintegration and respons
e suppression. Redintegration is the process that disambiguates partially r
etrieved memorial information into an overt response, and response suppress
ion renders retrieved items temporarily unavailable for further report. Mos
t models of serial recall assume the presence of both processes, but few ex
plain how they are performed. Exploration of the network revealed that it c
an predict recency in serial recall of lists of varying lengths, the patter
n of the associated transposition, omission, intrusion, and repetition erro
rs, and the temporal dynamics of retrieval. The network thus augments any e
xisting model of serial recall that assumes a distributed vector representa
tion but does not specify the processes underlying redintegration and respo
nse suppression.