Impulse Processing: A Dynamical Systems Model of Incremental Eye Movements in the Visual World Paradigm

Cognitive Science 35 (6):1009-1051 (2011)
Abstract
The Visual World Paradigm (VWP) presents listeners with a challenging problem: They must integrate two disparate signals, the spoken language and the visual context, in support of action (e.g., complex movements of the eyes across a scene). We present Impulse Processing, a dynamical systems approach to incremental eye movements in the visual world that suggests a framework for integrating language, vision, and action generally. Our approach assumes that impulses driven by the language and the visual context impinge minutely on a dynamical landscape of attractors corresponding to the potential eye-movement behaviors of the system. We test three unique predictions of our approach in an empirical study in the VWP, and describe an implementation in an artificial neural network. We discuss the Impulse Processing framework in relation to other models of the VWP
Keywords Embodied cognition  Artificial neural networks  Visual World Paradigm  Connectionist modeling  Dynamical systems  Ambiguity resolution  Eye tracking  Sentence processing  Local coherence  Self‐organization
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References found in this work BETA
Lawrence W. Barsalou (1999). Perceptual Symbol Systems. Behavioral and Brain Sciences 22 (4):577-660.

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Arthur B. Markman (2001). Are Dynamical Systems the Answer? Behavioral and Brain Sciences 24 (1):50-51.
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