The Predictive Mind

In the citing paper

“According to these theories, predictions and incoming sensory input each have an associated precision (inverse variance) reflecting their confidence or reliability.”

In the citing paper

“The image of the brain as a prediction machine, constantly testing hypotheses against incoming evidence, provides an intuitive and generative way of thinking about neural function (Clark 2013; Hohwy 2013).”

In the citing paper

“the brain is not an elaborate stimulus-response link but a statistical organ that actively generates explanations for the stimuli it encounters—in terms of hypotheses that are tested against sensory evidence.”

In the citing paper

“In AIF terms, the brain encodes a probabilistic generative model of the causes of its sensations, which it leverages to generate action”

In the citing paper

“Rather than passively waiting for incoming sensory information, systems are proactive, generating ‘top–down’ predictions about future states”

In the citing paper

“Perceptual inference, under these principles, associates conscious experience with the ‘explanation’ for the sensorium that minimizes prediction error throughout the hierarchy”

In the citing paper

“Predictive processing theories of cognition treat the brain as a neurally instantiated processing hierarchy, with generative models at higher levels predicting bottom-up inputs from lower levels.”

In the citing paper

“Error signals are cancelled either by updating the model or by taking action to alter the discrepant input (Hohwy 2013).”

In the citing paper

“The discrepancy between predicted and actual input takes the form of an error signal.”

In the citing paper

“This may explain the historical affinity between Active Inference based accounts of consciousness and Global Workspace Theory (Hohwy, 2013; Whyte, 2019), which identifies access consciousness as the primary (and perhaps exclusive) explanandum for the science of consciousness (Cohen & Dennett, 2011; Dehaene et al., 2006; Naccache, 2018).”

In the citing paper

“Predictive coding extends the above by positing a specific computational strategy for the brain: minimise the error between expected and actual inputs (15, 16).”

In the citing paper

“Recent developments in cognitive science and neuroscience have led to a growth of interest in “predictive processing” theories of mind and cognitive function (Clark 2013; Friston 2010; Hohwy 2013). These diverse approaches share a common ground in situating top-down, error-minimising predictions as the key locus of information processing, as opposed to more classical accounts which emphasize feed-”