Author's personal copy
Psychologie française 59 (2014) 231–246
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Original article
Non-abstractive global-matching models:
A framework for investigating the
distinctiveness effect on explicit
and implicit memory
Les modèles d’appariement global non abstractifs :
un cadre pour l’investigation de l’effet de distinctivité
dans la mémoire explicite et implicite
A. Oker
a,*
, R. Versace
b
a
EA 4047, laboratoire d’études cliniques et innovations thérapeutiques en psychiatrie (ECIPSY), université
de Versailles-Saint-Quentin-en-Yvelines, 177, rue de Versailles, 78157 Le Chesnay, France
b
EA 3082, laboratoire d’étude des mécanismes cognitifs (EMC), université de Lyon, 5, avenue
Pierre-Mendès-France, 69676 Bron cedex, France
a r t i c l e i n f o
Article history:
Received 23 May 2013
Accepted 10 April 2014
Keywords:
Distinctiveness
Implicit memory
Explicit memory
Memory traces
Dissociation
a b s t r a c t
One very well-known memory phenomenon is the observation that
if a specific item seems to be different or rare in any way from
other items present in the same encoding context, this item is likely
to be remembered more accurately. This phenomenon, named the
von Restorff effect or the isolation effect, has been known since
1933 and been considered today as one of the possible ways to
create distinctiveness. The aim of this article is to report that the
current debate concerning its non-emergence in implicit memory
tasks is directly due to a theoretical disagreement about the nature
of human memory. In this paper, we conclude that non-abstractive
global-matching models can provide an effective theoretical frame-
work for the study of the distinctiveness effect with isolation both
in implicit and explicit memory tasks.
© 2014 Société franc ¸ aise de psychologie. Published by Elsevier
Masson SAS. All rights reserved.
*
Corresponding author.
E-mail addresses: ali.oker@uvsq.fr (A. Oker), remy.versace@univ-lyon2.fr (R. Versace).
http://dx.doi.org/10.1016/j.psfr.2014.04.001
0033-2984/© 2014 Société franc ¸ aise de psychologie. Published by Elsevier Masson SAS. All rights reserved.