Distinguishing synchronous and time-varying synergies using point process interval statistics: motor primitives in frog and rat
Year: 2013
Type: article
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.
Authors: Corey B. Hart, Simon F. Giszter
Institutions: Lockheed Martin (United States), Drexel University
Language: English
Topic: Motor Control and Adaptation
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,801
Awards: Fiber-Optic Devices for Uncaging of Neurotransmitters, Multielectrode recording in spinal cord during locomotion and rehabilitation afte, Force-Field Control in Frog Motor Behavior, Neurorobotics, modularity and function in SCI and Normal Rats, Collaborative Research: Neural and mechanical bases of motor primitives in voluntary frog behavior
OpenAlex ID: W2129685253