Nonlinear dynamics in neuromorphic photonic networks: Physical simulation in Verilog-A

Recurrent neural networks based on silicon photonics can take on a wide range of dynamical features at high bandwidth, but experimental demonstrations are being held back by of the lack of a physical-level simulation platform that accounts for parasitic effects. This study uses photonic Verilog-A models to demonstrate characteristic neural dynamics. Simulation reveals that these dynamics exhibit a topological equivalence to the continuous-time recurrent-neural-network model.