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An introduction to the main principles of emulation: motor control, imagery, and perception

By Rick Grush

Abstract

Abstract: A framework for understanding representational capacities of nervous systems is developed and explored. The framework is based upon constructs from control theory and signal processing, most prominently forward models (aka emulators) and Kalman filters. The basic idea is that the brain constructs models or emulators for entities with which it interacts, such as the body and environment. During normal sensorimotor behavior these models are run in parallel with the modeled system in order to enhance, supplement and process information from the sensors. These models can also be taken off-line in order to produce imagery, select among possible actions, and solve problems. After introducing the central concepts, the framework is developed in the contexts of motor control, imagery, and perception. Other potential applications, including cognition and language, are briefly explored

Topics: Cognitive Psychology, Computational Neuroscience, Perceptual Cognitive Psychology
Year: 2002
OAI identifier: oai:cogprints.org:2073

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