Towards a competitive learning model of mirror effects in yes/no recognition memory tests

Dietz, K.C. and Bowman, H. and van Hooff, J.C. (2008) Towards a competitive learning model of mirror effects in yes/no recognition memory tests. In: Connectionist models of behaviour and cognition II. (Full text available)

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Abstract

Manipulations of encoding strength and stimulus class can lead to a simultaneous increase in hits and decrease in false alarms for a given condition in a yes/no recognition memory test. Based on signal detection theory, the strength-based `mirror effect' is thought to involve a shift in response criterion/threshold (Type I), whereas the stimulus class effect derives from a specific ordering of the memory strength signals for presented items (Type II). We implemented both suggested mechanisms in a simple, competitive feed-forward neural network model with a learning rule related to Bayesian inference. In a single-process approach to recognition, the underlying decision axis as well as the response criteria/thresholds were derived from network activation. Initial results replicated findings in the literature and are a first step towards a more neurally explicit model of mirror effects in recognition memory tests.

Item Type: Conference or workshop item (Paper)
Additional information: Proceedings of the 11th Neural Computation and Psychology Workshop (NCPW11), University of Oxford, UK, 16--18 July 2008
Uncontrolled keywords: mirror effect, recognition, memory models
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Science Technology and Medical Studies > School of Computing > Computational Intelligence Group
Depositing User: Mark Wheadon
Date Deposited: 29 Mar 2010 12:15
Last Modified: 06 Sep 2011 04:56
Resource URI: http://kar.kent.ac.uk/id/eprint/24112 (The current URI for this page, for reference purposes)
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