Modularity in the motor system: Decomposition of muscle patterns as combinations of time-varying synergies

Andrea D'Avella; Matthew C. Tresch

Modularity in the motor system: Decomposition of muscle patterns as combinations of time-varying synergies

Andrea D'Avella, Matthew C. Tresch

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

61 Scopus citations

Abstract

The question of whether the nervous system produces movement through the combination of a few discrete elements has long been central to the study of motor control. Muscle synergies, i.e. coordinated patterns of muscle activity, have been proposed as possible building blocks. Here we propose a model based on combinations of muscle synergies with a specific amplitude and temporal structure. Time-varying synergies provide a realistic basis for the decomposition of the complex patterns observed in natural behaviors. To extract time-varying synergies from simultaneous recording of EMG activity we developed an algorithm which extends existing non-negative matrix factorization techniques.

Original language	English (US)
Title of host publication	Advances in Neural Information Processing Systems 14 - Proceedings of the 2001 Conference, NIPS 2001
Publisher	Neural information processing systems foundation
ISBN (Print)	0262042088, 9780262042086
State	Published - Jan 1 2002
Event	15th Annual Neural Information Processing Systems Conference, NIPS 2001 - Vancouver, BC, Canada Duration: Dec 3 2001 → Dec 8 2001

Other

Other	15th Annual Neural Information Processing Systems Conference, NIPS 2001
Country/Territory	Canada
City	Vancouver, BC
Period	12/3/01 → 12/8/01

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems
Signal Processing

Cite this

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abstract = "The question of whether the nervous system produces movement through the combination of a few discrete elements has long been central to the study of motor control. Muscle synergies, i.e. coordinated patterns of muscle activity, have been proposed as possible building blocks. Here we propose a model based on combinations of muscle synergies with a specific amplitude and temporal structure. Time-varying synergies provide a realistic basis for the decomposition of the complex patterns observed in natural behaviors. To extract time-varying synergies from simultaneous recording of EMG activity we developed an algorithm which extends existing non-negative matrix factorization techniques.",

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D'Avella, A & Tresch, MC 2002, Modularity in the motor system: Decomposition of muscle patterns as combinations of time-varying synergies. in Advances in Neural Information Processing Systems 14 - Proceedings of the 2001 Conference, NIPS 2001. Neural information processing systems foundation, 15th Annual Neural Information Processing Systems Conference, NIPS 2001, Vancouver, BC, Canada, 12/3/01.

Modularity in the motor system: Decomposition of muscle patterns as combinations of time-varying synergies. / D'Avella, Andrea; Tresch, Matthew C.
Advances in Neural Information Processing Systems 14 - Proceedings of the 2001 Conference, NIPS 2001. Neural information processing systems foundation, 2002.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - The question of whether the nervous system produces movement through the combination of a few discrete elements has long been central to the study of motor control. Muscle synergies, i.e. coordinated patterns of muscle activity, have been proposed as possible building blocks. Here we propose a model based on combinations of muscle synergies with a specific amplitude and temporal structure. Time-varying synergies provide a realistic basis for the decomposition of the complex patterns observed in natural behaviors. To extract time-varying synergies from simultaneous recording of EMG activity we developed an algorithm which extends existing non-negative matrix factorization techniques.

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Modularity in the motor system: Decomposition of muscle patterns as combinations of time-varying synergies

Abstract

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ASJC Scopus subject areas

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