This open access book presents an overview of recent advances in photonic neural networks with
spatiotemporal dynamics. The computing and implementation paradigms presented in this book are
outcomes of interdisciplinary studies by collaborative researchers from the three fields of
nonlinear mathematical science information photonics and integrated systems engineering. This
book offers novel multidisciplinary viewpoints on photonic neural networks 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: Part I introduces the backgrounds of optical computing and neural network dynamics Part
II presents fluorescence energy transfer computing a novel computing technology based on
nanoscale networks of fluorescent particles Parts III and IV review the models and
implementation of spatial-photonic spin systems and photonic reservoir computing respectively.
These contents are beneficial to researchers in a broad range of fields including information
science mathematical science applied physics and engineering to better understand the novel
computing concepts of photonic neural networks with spatiotemporal dynamics.
