ERC Starting Grant · 2018
Challenging and extending predictive coding as an account of brain function
Probabilistic models of brain function, which propose that the brain can be understood as implementing the principles of optimal statistical inference, have become extremely influential in recent years. Predictive coding is perhaps the most widely held, and best supported, of these models, particularly within cognitive neuroscience. However, current models of predictive coding and its neuronal substrates are still relatively simple, and do not explain how humans solve a number of fundamental problems. This limits their power to explain brain function. I propose a series of experiments designed to test how human subjects address a number of these core problems. I will use behavioural and…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.