Within contemporary cognitive neuroscience, the brain is increasingly modeled as a prediction machine that constantly …
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In predictive processing, the organism is understood as a continually updating generative model that anticipates …
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Within contemporary debates on the foundations of quantum theory, quantum bayesianism occupies a distinctive position …
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In many predictive systems, variability is treated as a static byproduct of incomplete information about …
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Prospective cognition depends on the capacity of the hippocampus to construct, evaluate, and update internal …
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Motor planning relies on predictive mechanisms that allow the nervous system to prepare actions before …
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In standard neuroscience, cortical processing is often framed as a cascade of bottom up signals …
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Bayesian inference begins with the idea that uncertainty about unknown quantities is represented by probability …
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Sequential decision processes are usually framed as unfolding purely from past to future: an agent …
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Temporal credit assignment becomes especially nontrivial when signals are permitted to propagate backward through a …