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使用上丘爆发细胞放电对灵长类动物眼球跳动系统进行开环模拟。

Open-loop simulations of the primate saccadic system using burst cell discharge from the superior colliculus.

作者信息

Das S, Gandhi N J, Keller E L

机构信息

Smith-Kettlewell Eye Research Institute, San Francisco, CA 94115, USA.

出版信息

Biol Cybern. 1995 Nov;73(6):509-18. doi: 10.1007/BF00199543.

Abstract

Saccade-related burst neurons (SRBNs) in the monkey superior colliculus (SC) have been hypothesized to provide the brainstem saccadic burst generator with the dynamic error signal and the movement initiating trigger signal. To test this claim, we performed two sets of open-loop simulations on a burst generator model with the local feedback disconnected using experimentally obtained SRBN activity as both the driving and trigger signal inputs to the model. First, using neural data obtained from cells located near the middle of the rostral to caudal extent of the SC, the internal parameters of the model were optimized by means of a stochastic hill-climbing algorithm to produce an intermediate-sized saccade. The parameter values obtained from the optimization were then fixed and additional simulations were done using the experimental data from rostral collicular neurons (small saccades) and from more caudal neurons (large saccades); the model generated realistic saccades, matching both position and velocity profiles of real saccades to the centers of the movement fields of all these cells. Second, the model was driven by SRBN activity affiliated with interrupted saccades, the resumed eye movements observed following electrical stimulation of the omnipause region. Once again, the model produced eye movements that closely resembled the interrupted saccades produced by such simulations, but minor readjustment of parameters reflecting the weight of the projection of the trigger signal was required. Our study demonstrates that a model of the burst generator produces reasonably realistic saccades when driven with actual samples of SRBN discharges.

摘要

猴子上丘(SC)中的与扫视相关的爆发神经元(SRBNs)被假设为向脑干扫视爆发发生器提供动态误差信号和运动启动触发信号。为了验证这一说法,我们对一个爆发发生器模型进行了两组开环模拟,该模型的局部反馈被断开,使用实验获得的SRBN活动作为模型的驱动和触发信号输入。首先,使用从位于SC头端到尾端中部附近的细胞获得的神经数据,通过随机爬山算法优化模型的内部参数,以产生中等大小的扫视。然后固定从优化中获得的参数值,并使用来自头端丘神经元(小扫视)和更尾端神经元(大扫视)的实验数据进行额外的模拟;该模型生成了逼真的扫视,将真实扫视的位置和速度轮廓与所有这些细胞运动场中心相匹配。其次,该模型由与中断扫视相关的SRBN活动驱动,即电刺激全暂停区域后观察到的恢复的眼球运动。该模型再次产生了与这种模拟产生的中断扫视非常相似的眼球运动,但需要对反映触发信号投射权重的参数进行轻微调整。我们的研究表明,当用SRBN放电的实际样本驱动时,爆发发生器模型会产生相当逼真的扫视。

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