TABLE 2.

eSAM refers to the Search of Associative Memory model using classic item-item associations at encoding and retrieval. fSAM refers to the SAM model that assumes a multiplicative compound cue rule defines item-item associations formed during encoding and used during retrieval.

Best-Fit Parameters of SAM
Parameter	Description	eSAM	fSAM
bfor	forward inter-item strength during encoding	.687	.946
bbac	backward inter-item strength during encoding	.527	.466
a	item-context increment during encoding	.361	.300
ffor	forward inter-item strength during recall	.058	.731
fbac	backward inter-item strength during recall	.528	0
ec	item-context increment during recall	.719	.035
We	retrieval weight for inter-item episodic strength	2.17	5.00
Wc	retrieval weight for item-context strength	.010	4.12
Ws	retrieval weight for inter-item semantic strength	3.69	.350
Kmax	number of attempts after which recall stops	25	188
q	bias for displacing old items from buffer	.165	.308
as	semantic item-context increment during encoding	-	.410