Higher-order representations are neural or computational states that are “about” first-order representations, encoding information not about the external world per se but about the agent’s own representational processes – such as the reliability, source, or structure of a first-order representation. These higher-order representations appear critical to metacognition, learning, and even consciousness by some accounts, yet their dimensionality, construction, and neural substrates remain poorly und
How brains build higher order representations of uncertainty
Hojjat Azimi Asrari
