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The Continuity of Mind$
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Michael Spivey

Print publication date: 2006

Print ISBN-13: 9780195170788

Published to Oxford Scholarship Online: September 2007

DOI: 10.1093/acprof:oso/9780195170788.001.0001

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Some Simulation Tools for Tracking Continuous Mental Trajectories

Some Simulation Tools for Tracking Continuous Mental Trajectories

Chapter:
(p.80) 4 Some Simulation Tools for Tracking Continuous Mental Trajectories
Source:
The Continuity of Mind
Author(s):

Michael Spivey (Contributor Webpage)

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195170788.003.0004

This chapter promotes quantitative simulation as an important accompaniment to theoretical and experimental methods in dynamical approaches to understanding the mind. A mathematical introduction is provided to some simple dynamical systems, and a variety of recurrent neural network models are discussed. Special attention is paid to a localist attractor network, called “normalized recurrence”, that iteratively integrates probabilistic information and sends recurrent feedback to those information sources, thus modifying their activation pattern based on the evolving averaged bias. Versions of this model are used in a variety of simulations of experimental data in later chapters. The chapter ends with some discussion of the responsible limitations on a modeling component of any given research program.

Keywords:   simulation, modeling, dynamical systems, attractors, logistic map, connectionism, neural networks, localist attractor networks, normalized recurrence

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