Abstract
We study the modulation of the output signal of a Central Pattern Generator (CPG) through variations of the coupling parameters between the neurons. It is assumed that a given CPG possesses an exponentially stable limit cycle which originates a periodic output signal. We propose a method that allows to find the variations of the coupling parameters that change the network output in order to approximate a given reference signal. This problem is relevant in many applications. For instance, in robotics locomotion is desirable to change the output of a network in order to change the frequency or the amplitude of the legs movements. We present applications to ring networks and to the quadruped model developed by Golubitsky and coworkers.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
