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Given the trends in reconfigurable hardware systems inspired by biology, we present a hardware implementation of a closed-loop neural system. The hardware implementation focuses on modeling the behavior of two-cells, PD-LP system of a Pyloric Network from a lobster's stomach. This two-cell network emulates, in real-time, a digital representation of interacting neurons whose biological behavior is known. We evaluated the circuit design by varying the circuit values to determine the appropriateness and range of operation of the model. Future development of hardware models will be used to evaluate the feasibility of creating a platform of specialized circuits or an FPNA of biological neural characteristics.