Chaotic recurrent neural networks for brain modelling: A review

Andrea Mattera, Valerio Alfieri, Giovanni Granato, Gianluca Baldassarre

Abstract: Highlights•A comprehensive review of chaotic RNNs and their applications in brain modelling.•Chaos improvement of expressivity, variability, and info storage in RNNs is discussed.•Training methods like FORCE and RMHL are analyzed for their modeling potential.•Applications in robotics, neuromorphic computing, BMIs, and diagnostics are explored.•Challenges, ethics, and future of biologically plausible chaotic RNNs are discussed.