Abstract：
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.
摘要：
预测处理是一种计算框架，旨在解释大脑如何通过对环境进行预测并最大程度地减少预测错误来处理感官信息。它也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,在我们对皮层预测处理基础的神经元电路的理解方面取得了重大进展。在这次审查中,我们总结了这些发现,以及它们与精神病和抗精神病药物的细胞类型特异性效应的关系.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不仅是了解抗精神病药物的作用机制，而且是了解精神病的一种有希望的方法。最后,我们概述了一些应该做的关键实验。这篇综述的目的是概述当前基于电路的精神病治疗方法，并鼓励在这个方向上进行进一步的研究。神经科学年度评论的预期最终在线出版日期，第47卷是2024年7月。请参阅http://www。annualreviews.org/page/journal/pubdates的订正估计数。
