The numerical simulations and hardware realizations of the structures, which are inspired by central pattern generator networks and characterized as biologically inspired systems, draw attention. Numerical simulations of these structures are important in examining the characteristics of these systems. However, the studies about the hardware realizations of the central pattern generator structures also appear as an alternative research area for the applications where real-time electrical signals are required. In this study, after the examination of the central pattern generator network, which are proposed for the swimming movement control of the lamprey, the hardware implementation of the motor neuron identification in this network structure is performed. The field programmable analog array (FPAA) element is used in the implementation process and the FPAA device draws attention with its low hardware cost, rapid prototyping and reconfiguration features.