Neuromorphic building blocks for locomotion pattern generation

The central pattern generators network (CPGs) plays an important role in motion control which enables creatures to interact with the world. A novel neuromorphic circuit model presented in this work can be used as the simple building blocks for prescribing more complex, coordinated motor patterns. The circuit demonstrates its capability in generating the activity frequency and duty cycle, independently adjustable by a small set of model parameters. The simulation outcomes also show that the circuit can implement the parallel and distributed algorithms for building the artificial CPGs to drive motors