Learning probability distributions of sensory inputs with Monte Carlo predictive coding
It has been suggested that the brain employs probabilistic generative models to optimally interpret sensory information. This hypothesis has been formalised in distinct frameworks, focusing on explaining separate phenomena. On one hand, classic predictive coding theory proposed how the probabilistic...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Public Library of Science
2024
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