Photonic neural networks with spatiotemporal dynamics: paradigms of computing and implementation

Offers novel multidisciplinary viewpoints on photonic neuralnetworks, illustrating recent advances in three types of computing methodologies:fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing. The book consists of four parts: The first part introduces the backgrounds ofoptical computing and neural network dynamics; the second part presents fluorescenceenergy transfer computing, a novel computing technology based on nanoscalenetworks of fluorescent particles; the third and fourth parts review the models andimplementation of spatial photonic spin systems and photonic reservoir computing,respectively.