Predictive processing is a computational framework that aims to explain how the brain processes sensory information by making predictions about the environment and minimizing prediction errors. It can also be used to explain some of the key symptoms of psychotic disorders such as schizophrenia. In recent years, substantial advances have been made in our understanding of the neuronal circuitry that underlies predictive processing in cortex. In this review, we summarize these findings and how they might relate to psychosis and to observed cell type–specific effects of antipsychotic drugs. We argue that quantifying the effects of antipsychotic drugs on specific neuronal circuit elements is a promising approach to understanding not only the mechanism of action of antipsychotic drugs but also psychosis. Finally, we outline some of the key experiments that should be done. The aims of this review are to provide an overview of the current circuit-based approaches to psychosis and to encourage further research in this direction.Expected final online publication date for the Annual Review of Neuroscience, Volume 47 is July 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

中文翻译：

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预测处理：精神病的电路方法

预测处理是一个计算框架，旨在解释大脑如何通过对环境进行预测并最大限度地减少预测误差来处理感官信息。它还可以用来解释精神分裂症等精神障碍的一些关键症状。近年来，我们对皮层预测处理背后的神经元回路的理解取得了实质性进展。在这篇综述中，我们总结了这些发现以及它们与精神病以及观察到的抗精神病药物的细胞类型特异性作用的关系。我们认为，量化抗精神病药物对特定神经元回路元件的影响是一种很有前景的方法，不仅可以了解抗精神病药物的作用机制，还可以了解精神病。最后，我们概述了一些应该进行的关键实验。本综述的目的是概述当前基于回路的精神病方法，并鼓励在这一方向进行进一步研究。《神经科学年度评论》第 47 卷的预计最终在线出版日期为 2024 年 7 月。请参阅 http: //www.annualreviews.org/page/journal/pubdates 了解修订后的估计。