Behavioral and Brain Sciences



Short Communication

Dynamic thresholds for controlling encoding and retrieval operations in localist (or distributed) neural networks: The need for biologically plausible implementations


Alan D. Pickering a1
a1 Department of Psychology, St. George's Hospital Medical School, University of London, London SW17 0RE, United Kingdom a.pickering@sghms.ac.uk www.sghms.ac.uk/depts/psychology/aphome.htm

Abstract

A dynamic threshold, which controls the nature and course of learning, is a pivotal concept in Page's general localist framework. This commentary addresses various issues surrounding biologically plausible implementations for such thresholds. Relevant previous research is noted and the particular difficulties relating to the creation of so-called instance representations are highlighted. It is stressed that these issues also apply to distributed models.



Metrics