An organized view of reservoir computing: a perspective on theory and technology development

Reservoir computing is an unconventional computing paradigm that uses system complexity and dynamics as a computational medium. Currently, it is the leading computational paradigm in the fields of unconventional in materia computing. This review briefly outlines the theory behind the term 'reservoir computing,' presents the basis for the evaluation of reservoirs, and presents a cultural reference of reservoir computing in a haiku. The summary highlights recent advances in physical reservoir computing and points out the importance of the drive, usually neglected in physical implementations of reservoir computing. However, drive signals may further simplify the training of reservoirs' readout layer training, thus contributing to improved performance of reservoir computer performance.