[LINK] Unifying Predictive Coding With Backpropagation
Scott Alexander discusses recent research unifying predictive coding in the brain with backpropagation in machine learning, exploring its implications for AI and neuroscience.
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Scott Alexander discusses recent research unifying predictive coding in the brain with backpropagation in machine learning, exploring its implications for AI and neuroscience.
Scott Alexander proposes a Bayesian theory of willpower as a process of weighing evidence from different mental processes to determine actions.
The post examines research suggesting placebos are largely ineffective, explores exceptions, and proposes explanations for observed placebo effects based on brain function and study design.
Scott Alexander explores the similarities between Predictive Processing and Perceptual Control Theory, arguing that PCT anticipates many aspects of PP and deserves recognition for its insights.
Scott reviews Will Powers' book on Perceptual Control Theory, finding it convincing for explaining lower-level brain functions but skeptical of its application to higher-level concepts.