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Journal article
Distinguishing synchronous and time-varying synergies using point process interval statistics: motor primitives in frog and rat
Frontiers in computational neuroscience, v 7, pp 52-52
09 May 2013
PMID: 23675341
Abstract
We present and apply a method that uses point process statistics to discriminate the forms of synergies in motor pattern data, prior to explicit synergy extraction. The method uses electromyogram (EMG) pulse peak timing or onset timing. Peak timing is preferable in complex patterns where pulse onsets may be overlapping. An interval statistic derived from the point processes of EMG peak timings distinguishes time-varying synergies from synchronous synergies (SS). Model data shows that the statistic is robust for most conditions. Its application to both frog hindlimb EMG and rat locomotion hindlimb EMG show data from these preparations is clearly most consistent with synchronous synergy models (
p
< 0.001). Additional direct tests of pulse and interval relations in frog data further bolster the support for synchronous synergy mechanisms in these data. Our method and analyses support separated control of rhythm and pattern of motor primitives, with the low level execution primitives comprising pulsed SS in both frog and rat, and both episodic and rhythmic behaviors.
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Details
- Title
- Distinguishing synchronous and time-varying synergies using point process interval statistics: motor primitives in frog and rat
- Creators
- Corey B. Hart - Drexel UniversitySimon F. Giszter - Drexel University
- Publication Details
- Frontiers in computational neuroscience, v 7, pp 52-52
- Publisher
- Frontiers Media S.A
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Neurobiology and Anatomy
- Web of Science ID
- WOS:000319730900001
- Other Identifier
- 991019167316104721
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- Collaboration types
- Industry collaboration
- Domestic collaboration
- Web of Science research areas
- Mathematical & Computational Biology
- Neurosciences