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What is Bayesian Theory of Efficient Coding about?
This document presents a formalization of a Bayesian theory of efficient coding, bridging the gap between the efficient coding hypothesis and the Bayesian brain hypothesis. It defines Bayesian efficient codes using four components: stimulus prior distribution, encoding model, capacity constraint, and loss function, highlighting how these can lead to different coding strategies. The authors explore implications for sensory systems and reinterpret previous analyses, particularly in the context of the blowfly
- Author
- quinnyijinglin
- Language
- EN