A neural model of mere exposure: The EXAC mechanism

Andrzej Nowak , Marek Drogosz

Abstract

Previous research has shown that “the mere exposure effect” is strongest for subliminal presentations (meta-analysis: Bornstein, 1989). Further, in the range of subliminal presentations times, the relation between recognition and affect is paradoxical – participants cannot effectively recognize novel from familiar stimuli, yet they perceive the familiar stimuli as more pleasant. The mechanisms of this paradoxical phenomenon (named “the primacy of affect”; Zajonc, 1984) remain unexplained. In this paper, we propose a simple neural network model (“EXAC”: Exposure and Affect Counter) of the subliminal mere exposure effect. Analysis of the model’s performance shows that the capability for fast novelty detection can be a natural property of very simple network structures. The novelty detection function generated by EXAC fits the affective function obtained from behavioral data. For weakly learned patterns (corresponding to short presentation times in behavioral research), the network model “prefers” known stimuli before it can recognize them.
Author Andrzej Nowak (Wydział Psychologii)
Andrzej Nowak,,
- Wydział Psychologii
, Marek Drogosz
Marek Drogosz,,
-
Journal seriesACADEMIC JOURNAL OF SECOND MILITARY MEDICAL UNIVERSITY, (0 pkt)
Issue year2006
Vol37(1)
Pages7-15
Keywords in Englishmere exposure, neural model, affect, emotion
URL https://www.researchgate.net/publication/236007861_A_neural_model_of_mere_exposure_The_EXAC_mechanism
Languageen angielski
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-PPB-Marek-Drogosz-Andrzej-Nowak.pdf of 14-09-2015
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Dorobek Naukowy - Preview URLhttp://dn.swps.edu.pl/Podglad.aspx?WpisID=4462
Dorobek Naukowy - Approve URLhttp://dn.swps.edu.pl/Biuro/ZatwierdzanieWpisu.aspx?WpisID=4462
Dorobek Naukowy - Preview URLhttp://dn.swps.edu.pl/Podglad.aspx?WpisID=6380
Dorobek Naukowy - Approve URLhttp://dn.swps.edu.pl/Biuro/ZatwierdzanieWpisu.aspx?WpisID=6380
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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