Predictive coding emerged as an explanation for how the brain can efficiently encode sensory stimuli. The hierarchical organization of neural circuits for perception thus passes prediction errors between computational layers. Extensions of this theory have provided a unifying understanding of Bayesian inference within neural circuits and psychiatric disorders. In particular, disorders of perception and belief have been explained as a Bayesian process of weighing prior beliefs (predictions) against new sensory data (prediction errors). The present issue of the Journal of Abnormal Psychology provides further evidence for how psychotic disorders develop and persist and how addiction- and trauma-related disorders may also be conceptualized. Trauma-related disorders in particular have begun to be identified as disorders of excessive accumulated prediction errors (uncertainty) over life. Here we summarize and reconcile recent advances in reinforcement learning momentum models with predictive processing and attempt to point out potential pitfalls for the application of hierarchical prediction models to stress. Future directions for understanding stress through this lens may need to involve updates to a purely hierarchical view or reframing long times cale molecular predictions as higher-order predictions. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

中文翻译：

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精神疾病的预测性处理：感知和创伤的分层电路。

预测编码的出现解释了大脑如何有效地编码感觉刺激。因此，用于感知的神经回路的分层组织会在计算层之间传递预测误差。该理论的扩展提供了对神经回路和精神疾病中贝叶斯推理的统一理解。特别地，已经将感知和信仰障碍解释为将先前的信仰（预测）与新的感官数据（预测错误）权衡的贝叶斯过程。本期《异常心理学杂志》为精神病如何发展和持续以及与成瘾和创伤有关的疾病如何被概念化提供了进一步的证据。尤其是与创伤有关的疾病已开始被识别为一生中累积的过多预测误差（不确定性）的疾病。在这里，我们总结并调和了强化学习动量模型与预测处理的最新进展，并尝试指出了将分层预测模型应用于压力的潜在陷阱。通过该透镜来了解压力的未来方向可能需要涉及对纯分层视图的更新，或将长期的分子分子预测重新定义为高阶预测。（PsycInfo数据库记录（c）2020 APA，保留所有权利）。在这里，我们总结并调和了强化学习动量模型与预测处理的最新进展，并尝试指出了将分层预测模型应用于压力的潜在陷阱。通过该透镜来了解压力的未来方向可能需要涉及对纯分层视图的更新，或将长期的分子分子预测重新定义为高阶预测。（PsycInfo数据库记录（c）2020 APA，保留所有权利）。在这里，我们总结并调和了强化学习动量模型与预测处理的最新进展，并尝试指出了将分层预测模型应用于压力的潜在陷阱。通过该透镜来了解压力的未来方向可能需要涉及对纯分层视图的更新，或将长期的分子分子预测重新定义为高阶预测。（PsycInfo数据库记录（c）2020 APA，保留所有权利）。