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Synopsis
A neural dynamics that controls behavior of an embodied agent has to be coupled through sensory-motor systems to a real-world environment. Thus, temporal continuity and gradedness of the dynamics of the perceptual, motor, and cognitive processes is to be considered. In theface of the inherent variability of these processes, stability is a necessary property of the behaviorally relevant neural states. But stability is in conflict withsequentiality, because transitions from one action to the next one requirethat a neural state decays and gives way to the nextrelevant neural state. In my doctoral thesis, I propose a mechanism that solves the problem of the stability vs. sequentialitytrade-off in a model based on Dynamic Neural Fields. Robotic implementations of the model demonstrate howsequences of actions may be acquired from sensory input and then produced in an unknown environment. The sequence generation model may also be used to increaseautonomy of neural-dynamic cognitive architectures. Overall, thiswork presents first steps towards elaboration of aneural-dynamic architecture that controls autonomous behavior of an embodied agent.
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About the Author
Yulia Sandamirskaya completed her studies of physics in 2005 witha Diploma with honors from the Belorussian State University and a M.Sc.degree from the Ruhr-Univeristät Bochum (RUB). She received a Dr.rer.nat. degreewith honors for her work on sequence generation accomplished at Institut für Neuroinformatik at RUB.
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- PublisherSüdwestdeutscher Verlag für Hochschulschriften
- Publication date2011
- ISBN 10 3838124723
- ISBN 13 9783838124728
- BindingPaperback
- LanguageEnglish
- Number of pages148
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Sequence Generation in Dynamic Field Theory
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Südwestdeutscher Verlag Für Hochschulschriften Feb 2011, 2011
ISBN 10: 3838124723
ISBN 13: 9783838124728
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A neural dynamics that controls behavior of an embodied agent has to be coupled through sensory-motor systems to a real-world environment. Thus, temporal continuity and gradedness of the dynamics of the perceptual, motor, and cognitive processes is to be considered. In the face of the inherent variability of these processes, stability is a necessary property of the behaviorally relevant neural states. But stability is in conflict with sequentiality, because transitions from one action to the next one require that a neural state decays and gives way to the next relevant neural state. In my doctoral thesis, I propose a mechanism that solves the problem of the stability vs. sequentiality trade-off in a model based on Dynamic Neural Fields. Robotic implementations of the model demonstrate how sequences of actions may be acquired from sensory input and then produced in an unknown environment. The sequence generation model may also be used to increase autonomy of neural-dynamic cognitive architectures. Overall, this work presents first steps towards elaboration of a neural-dynamic architecture that controls autonomous behavior of an embodied agent. 148 pp. Englisch. Seller Inventory # 9783838124728
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Sequence Generation in Dynamic Field Theory
Published by
Südwestdeutscher Verlag Für Hochschulschriften, 2011
ISBN 10: 3838124723
ISBN 13: 9783838124728
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A neural dynamics that controls behavior of an embodied agent has to be coupled through sensory-motor systems to a real-world environment. Thus, temporal continuity and gradedness of the dynamics of the perceptual, motor, and cognitive processes is to be considered. In the face of the inherent variability of these processes, stability is a necessary property of the behaviorally relevant neural states. But stability is in conflict with sequentiality, because transitions from one action to the next one require that a neural state decays and gives way to the next relevant neural state. In my doctoral thesis, I propose a mechanism that solves the problem of the stability vs. sequentiality trade-off in a model based on Dynamic Neural Fields. Robotic implementations of the model demonstrate how sequences of actions may be acquired from sensory input and then produced in an unknown environment. The sequence generation model may also be used to increase autonomy of neural-dynamic cognitive architectures. Overall, this work presents first steps towards elaboration of a neural-dynamic architecture that controls autonomous behavior of an embodied agent. Seller Inventory # 9783838124728
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Sequence Generation in Dynamic Field Theory
Published by
Südwestdeutscher Verlag für Hochschulschriften, 2011
ISBN 10: 3838124723
ISBN 13: 9783838124728
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sandamirskaya YuliaYulia Sandamirskaya completed her studies of physics in 2005 witha Diploma with honors from the Belorussian State University and a M.Sc.degree from the Ruhr-Univeristaet Bochum (RUB). She received a Dr.rer.nat. degr. Seller Inventory # 5406811
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