Converging neuroscientific evidence demonstrates that humans learn effectively from errors through distinct neural mechanisms involving predictive processing, error-driven memory updating, and reinforcement learning circuits.
Papers [0], [1], [2], and [9] directly investigate and confirm specific neural mechanisms—such as hippocampal subregion activity, error-driven retrieval networks, and electrophysiological prediction error tracking—by which humans learn from errors. The rest of the papers examine broader topics like social learning, addiction, or curriculum learning without directly contradicting the core claim.