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APECS: An Adaptively Parameterised Model of Associative Learning and Memory

APECS: An Adaptively Parameterised Model of Associative Learning and Memory
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Author(s): I.P.L. McLaren (University of Exeter, UK)
Copyright: 2011
Pages: 20
Source title: Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications
Source Author(s)/Editor(s): Eduardo Alonso (City University, UK)and Esther Mondragón (University College London, UK)
DOI: 10.4018/978-1-60960-021-1.ch007

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Abstract

In this chapter the author will first give an overview of the ideas behind Adaptively Parameterised Error Correcting Learning (APECS) as introduced in McLaren (1993). It will take a somewhat historical perspective, tracing the development of this approach from its origins as a solution to the sequential learning problem identified by McCloskey and Cohen (1989) in the context of paired associate learning, to its more recent application as a model of human contingency learning.

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