Under the assumption that phenomenology is a function of beliefs, the paper derives conditional predictions from predictive processing for subjective similarity, cognitive effort, metabolic cost, and time perception to link experience with neural dynamics.
Active inference on discrete state-spaces: A synthesis.Journal of Mathematical Psychology, 99:102447, December 2020
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A Rosetta Stone Hypothesis for Neurophenomenology: Mathematical Predictions from Predictive Processing
Under the assumption that phenomenology is a function of beliefs, the paper derives conditional predictions from predictive processing for subjective similarity, cognitive effort, metabolic cost, and time perception to link experience with neural dynamics.