Abstract
A theoretical framework for understanding movement preparation is
proposed. Movement parameters are
represented by activation fields, distributions of activation defined
over metric spaces. The fields evolve
under the influence of various sources of localized input, representing
information about upcoming
movements. Localized patterns of activation self-stabilize through
cooperative and competitive interactions
within the fields. The task environment is represented by a 2nd class
of fields, which preshape the
movement parameter representation. The model accounts for a sizable
body of empirical findings on
movement initiation (continuous and graded nature of movement preparation,
dependence on the metrics
of the task, stimulus uncertainty effect, stimulusresponse compatibility
effects, Simon effect, precuing
paradigm, and others) and suggests new ways of exploring the structure
of motor representations.
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