Topic: top-down predictions

The human auditory system is robust to many types of corrupting noise. However, the neural mechanism that drives this robustness is unclear. Experimental evidence suggests that top-down predictions play an important role in processing stimuli in noisy contexts. Feedback connections are abundant in the auditory cortex, and have been hypothesized to carry predictive signals but are often omitted in large scale models. We evaluate the potential role of predictive dynamics in auditory robustness by introducing these dynamics into a large-scale model of the human auditory system. Specifically, we a

How our conscious experience materialize from our predictions is an open question in neuroscience and philosophy. Here we test the hypothesis that top-down predictions arise from a trio of domain-specific generative models (Fig 1a) within prefrontal (PFC) nodes of the Default-Mode Network (DMN), and integrate within its parietal nodes, forming the basis for our dynamic consciousness.Smoothed binary ratings of prediction updates for State changes, Agent beliefs, and Action sequences from an online sample were used as parametric regressors for the GLMs. These ratings indicating experience shifts