Predictive-coding has justifiably become a highly influential theory in Neuroscience.
However, the possibility of its unfalsifiability has been raised. We argue that if predictive …

It is often helpful to distinguish between a theory (Marr's computational level) and a specific
implementation of that theory (Marr's physical level). However, in the target article a single …

Research on predictive processing models has focused largely on two specific algorithmic
theories: Predictive Coding for perception and Active Inference for decision-making. While …

The predictive coding model of perception proposes that neuronal responses are modulated
by the amount of sensory input that the internal prediction cannot account for (ie, prediction …

Predictive coding theory (Srinivasan et al., 1982; Mumford, 1992; Rao and Ballard, 1999)
claims that the function of the hierarchical organization in the cortex is to reconcile …

Clark makes a convincing case for the merits of conceptualizing brains as hierarchical
prediction machines. This perspective has the potential to provide an elegant and powerful …

Predictive coding is possibly one of the most influential, comprehensive, and controversial
theories of neural function. While proponents praise its explanatory potential, critics object …

In recent years, predictive coding has become an increasingly influential model of how the
brain processes sensory information. Predictive coding theories state that the brain is …

Perceptual decisions can be made when sensory input affords an inference about what
generated that input. Here, we report findings from two independent perceptual experiments …

Predictive coding–sometimes also known as 'predictive processing','free energy
minimisation', or 'prediction error minimisation'–claims to offer a complete, unified theory of …