Cerebellum-inspired neural network of supervised learning with tensor-based sparse coding for multi-class classification

Author summary We established a cerebellum-inspired computational framework incorporating random-feature-based sparse coding and climbing-fiber-driven supervised learning mechanisms. The granular-layer-inspired architecture, combined with an unsupervised lear…