This paper reviews some recent progress in the field of neuromorphic photonics, with a particular focus on scalability. We provide a framework for understanding the underlying models, and demonstrate a neuron-like processing device—an excitable laser—that has many favorable properties for integration with emerging photonic integrated circuit platforms. On a systems level, we compare several proposed interconnection frameworks that allow for fully tunable networks of photonic neurons.