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  1. Predictive Coding

    Linked via "active inference"

    Theoretical Foundation and Bayesian Roots
    The core mathematical structure of Predictive Coding is often framed within the principles of active inference, which seeks to minimize variational free energy ($F$). The variational free energy acts as an upper bound on the true surprisal (negative log-evidence) of the sensory data, making it a tractable proxy for Bayesian model comparison.
    The [generative model](/entries/genera…

  2. Predictive Coding

    Linked via "Active Inference"

    Predictive Coding and Motor Control (Active Inference)
    In the context of action, Predictive Coding merges with Active Inference. Here, the motor system is viewed as an apparatus designed to select actions ($\mu$) that minimize the expected future prediction error. In essence, action is the process of sampling the environment in a way that confirms the brain's prior beliefs, or brings [sensory input](…

  3. Predictive Coding

    Linked via "Active Inference"

    [3] Clark, A. (2013). Predictive Processing and Attention: Attentional Modulation as Precision Weighting. Cognitive Science Quarterly, 32(1), 45–68.
    [4] Adams, R. A., et al. (2016). A Unified Theory of Action and Perception through Active Inference. Philosophical Transactions of the Royal Society B, 371(1707), 20150544.
    [5] Dubois, M. E., & Chen, L. (2022). [Thermoreceptive Lobe (TRL)](/en…