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Transformation from Population Codes to Firing Rate Codes by Learning: Neural Representation of Smooth Pursuit Eye Movements

机译:通过学习从人口代码到射击率代码的转换:平滑追踪眼睛运动的神经表示

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摘要

It has been reported that not only the information related to retinal slip but also the non-visual information were population-coded in the middle temporal (MT) area and the medial superior temporal (MST) area during smooth pursuit eye movements. On the other hand, it has been also reported that the information related to motor signals to generate eye movements were firing rate-coded in the Purkinje cells in the cerebellum. Here, we propose a computational model of smooth pursuit that includes various temporal patterns of neural firing in the MT/MST areas and synaptic plasticity in the cerebellar cortex. We show that the signals to generate smooth pursuit eye movements could be extracted from the signals population-coded in the cerebral cortex by means of the synaptic plasticity in the cerebellar cortex. Our results indicate that the transformation from population codes to firing rate-codes occurs in the cerebellum during smooth pursuit eye movements.
机译:据报道,在平滑追随眼球运动期间,不仅在中颞部(MT)区域和中上颞部(MST)区域中都对与视网膜滑动有关的信息以及非视觉信息进行了人口编码。另一方面,也有报道说,与产生眼动的运动信号有关的信息是在小脑的浦肯野细胞中以发射速率编码的。在这里,我们提出了一种平稳追赶的计算模型,其中包括MT / MST区域中神经放电的各种时间模式以及小脑皮层中的突触可塑性。我们表明,可以通过小脑皮层中的突触可塑性从大脑皮层中编码的信号中提取生成平滑追随眼球运动的信号。我们的研究结果表明,从人群代码到射击率代码的转换发生在小脑平滑运动时。

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