In this paper, we present the synchronous approach as a new method for modeling neural architectures. The synchronous approach is initially used to design controllers for reactive real-time systems, and we explain how it fits well to our objective to design bio-inspired neuromorphic circuits for biohybrid experiments. We describe synchronous implementations of some neural models and validate our approach with the Brian simulator. We also compare the synchronous hardware code generated to a standard manually optimised code. And finally we discuss the next steps of our work.