Circuit models of stochastic genetic networks

We use analogies between chemistry and subthreshold electronics to develop fast, scalable, digitally programmable hardware models of stochastic genetic networks. We also present experimental results from a prototype 0.18 ¿m CMOS chip that was designed for rapid simulations of gene activation, transcription and translation.