283 The generating functional method is employed to investigate the synchronous dynamics of Boolean networks, providing an exact result for the system dynamics. The framework accommodates a variety of Boolean function distributions and can be used to study both the noisy and noiseless regimes; it enables one to calculate correlation functions at different times that are inaccessible via commonly used approximations. It is also used to determine conditions for the approximations used in past to be valid, explore phases of the system under different levels of noise and obtain results for models with strong memory effects, where existing approximations break down. Links between noisy Boolean networks and fault-tolerant computation are identified and results common to both system types are highlighted. Biology and Physics of Information Processing Alexander Muzaika None