Chapter

Some Simulation Tools for Tracking Continuous Mental Trajectories

Michael Spivey

in The Continuity of Mind

Published in print December 2006 | ISBN: 9780195170788
Published online September 2007 | e-ISBN: 9780199786831 | DOI: http://dx.doi.org/10.1093/acprof:oso/9780195170788.003.0004
 Some Simulation Tools for Tracking Continuous Mental Trajectories

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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

Chapter.  15282 words.  Illustrated.

Subjects: Neuropsychology

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