A cerebellar neuronal network model applying to DIVA model

Wu Yuanyuan, Zhang Shaobai
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Abstract

The paper presents a new cerebellar feedback-error-learning model that meets the requirement of DIVA (Directions Into Velocities of Articulators) model, and constructs a cerebellar neuronal network model that consists of 900 granular cells, 10 Golgi cells, 50 basket/stellate cells, and 10 Purkinje cells based upon neuroanatomy. By applying the new cerebellar neuronal network model to the DIVA model and then modifying the cortical DIVA circuit, simulation results show that the DIVA model can produce clear and explicit speech sounds, and the new cerebellar neuronal network model can solve the problem of the learning and maintenance of feedforward motor commands.
应用于DIVA模型的小脑神经网络模型
本文提出了一种满足DIVA (Directions Into velocity of Articulators)模型要求的小脑反馈-错误学习模型,并基于神经解剖学构建了由900个颗粒细胞、10个高尔基细胞、50个篮状/星状细胞和10个浦肯野细胞组成的小脑神经网络模型。通过将新的小脑神经网络模型应用于DIVA模型,然后对皮层DIVA电路进行修改,仿真结果表明,DIVA模型能够产生清晰明确的语音,并且新的小脑神经网络模型能够解决前馈运动命令的学习和维护问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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