This article describes a computational model, called DIVA, that provides a quantitative framework for understanding the roles of various brain regions involved in speech acquisition and production. An overview of the DIVA model is first provided, along with descriptions of the computations performed in the different brain regions represented in the model. Particular focus is given to the model's speech sound map, which provides a link between the sensory representation of a speech sound and the motor program for that sound. Neurons in this map share with "mirror neurons" described in monkey ventral premotor cortex the key property of being active during both production and perception of specific motor actions. As the DIVA model is defined both computationally and anatomically, it is ideal for generating precise predictions concerning speech-related brain activation patterns observed during functional imaging experiments. The DIVA model thus provides a well-defined framework for guiding the interpretation of experimental results related to the putative human speech mirror system.

中文翻译：

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语音获取和产生的神经理论

本文介绍了一种称为 DIVA 的计算模型，该模型提供了一个定量框架，用于理解参与语音获取和生成的各个大脑区域的作用。首先提供了 DIVA 模型的概述，以及在模型中表示的不同大脑区域中执行的计算的描述。特别关注模型的语音声音图，它提供了语音的感官表征和该声音的运动程序之间的联系。该图中的神经元与猴子腹侧运动前皮层中描述的“镜像神经元”共享关键特性，即在产生和感知特定运动动作时都处于活跃状态。由于 DIVA 模型是在计算上和解剖上定义的，它非常适合生成关于功能成像实验中观察到的与语音相关的大脑激活模式的精确预测。因此，DIVA 模型提供了一个明确定义的框架，用于指导与假定的人类语音镜像系统相关的实验结果的解释。