Before revision:  Using Restricted Boltzmann machines , we find that networks with sufficient capacity learn to balance precision and noise-robustness in order to adaptively communicate stimuli with varying information content.
After revision:  Using restricted Boltzmann machines as a model of sensory encoding , we find that networks with sufficient capacity learn to balance precision and noise-robustness in order to adaptively communicate stimuli with varying information content.