The brain can solve complex perceptual tasks in real time, using low power and unreliable elementary units. Replicating the principles found in biological neural systems is useful for understanding biological processes and these principles also inspire the design of novel systems for practical applications. Neuromorphic engineering uses Very Large Scale Integrated (VLSI) electronic circuits to construct biologically-inspired neural processing systems. This project focuses on the development of a hardware system to explore the computational capabilities of large networks of recurrently connected spiking neurons. The importance of such a system is that it permits exploration of asynchronous, event-based computation, which is a novel form of processing not yet explored in modern computers. To this end, a novel analog VLSI device will be designed and its implementation will be used to build multi-chip systems.