Yin-Hao Xu

Autonomous Chaotic Time Series Prediction using Physical Neuromorphic Networks

The intrinsic dynamics of neuromorphic nanowire networks are sufficient to support meaningful autonomous chaotic time series prediction without virtual node augmentation, and that performance may improve further as physical network sizes scale to the millions of nodes achievable in hardware.