We present an analog circuit for implementing models of synapses with short-term adaptation, derive analytical solutions for spiking input signals, and present experimental results measured from a chip fabricated using a standard 1.5 μm CMOS technology. The circuit is suitable for integration in large arrays of integrate-and-fire neurons and consequently for evaluating computational roles of short-term adaptation at the network level.