Comprehensive frameworks for bio-inspired sparse recurrent neural networks. Reservoir computing keeps a fixed, richly nonlinear dynamical system and trains only a readout, which makes it cheap to train and natural to implement in physical substrates such as photonics. My work surveys the field beyond machine learning and replaces the usual linear readout with local Hebbian prototype learning, so the readout self-organizes on top of the reservoir dynamics.