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Localized Neural Network Control of Spring Actuated Leg

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Computational Neuroscience
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Abstract

For any animal to move about in an unstructured and dynamic environment it must have an adaptable locomotor control system. In legged vertebrates much of this control is handled by local circuits in the spinal cord [3]. The object of a neural controller is to lead the mechanical system through the proper motion pattern. This system must strive to be energy efficient, a task which is enabled through the use of springs in the form of muscle tendons [1]. Our simulated model incorporates local circuitry, series elasticity, sensory feedback and higher level control.

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References

  1. Alexander, R. M. (1988). Elastic mechanisms in animal movement. Cambridge: Cambridge University Press.

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  2. Ekeberg, Ö. (1993). A combined neuronal and mechanical model offish swimming. Biol. Cybern. 69: 363–374.

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  3. Grillner, S. (1996). Neural networks for vertebrate locomotion. Scientific American 274: 64–69.

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  4. Tax, A. A. M. and Denier van Der Gon, J. J. (1991). A model for neural control of gradation of muscle force. Biol. Cybern. 65: 227–234.

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© 1997 Springer Science+Business Media New York

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Wadden, T., Ekeberg, Ö. (1997). Localized Neural Network Control of Spring Actuated Leg. In: Bower, J.M. (eds) Computational Neuroscience. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-9800-5_85

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  • DOI: https://doi.org/10.1007/978-1-4757-9800-5_85

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4757-9802-9

  • Online ISBN: 978-1-4757-9800-5

  • eBook Packages: Springer Book Archive

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