A review of predictive coding algorithms¶
Spratling, M. W. (2017). A review of predictive coding algorithms. Brain and Cognition, 92-97.
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Primes¶
- Predictive Coding
- Economically, it spends representational resources in proportion to surprise; epistemically, it treats the gap between belief and observation as the only thing worth carrying forward, since the rest was already implied by the model.
This sourceSurvey treating the major predictive-coding implementations as variations on one canonical computation; supports the economic-and-epistemic framing (spend only on surprise, carry only the unexplained gap) and the claim that the shared model/prediction/residual/gain vocabulary makes cross-domain transfer concrete rather than analogical.
- Economically, it spends representational resources in proportion to surprise; epistemically, it treats the gap between belief and observation as the only thing worth carrying forward, since the rest was already implied by the model.
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