Bozis A, Moschovakis A K
Division of Computational Neuroscience, Faculty of Medicine, University of Crete, Iraklion, Greece.
Biol Cybern. 1998 Sep;79(3):215-30. doi: 10.1007/s004220050472.
This report evaluates the performance of a biologically motivated neural network model of the primate superior colliculus (SC). Consistent with known anatomy and physiology, its major features include excitatory connections between its output elements, nigral gating mechanisms, and an eye displacement feedback of reticular origin to recalculate the metrics of saccades to memorized targets in retinotopic coordinates. Despite the fact that it makes no use of eye position or eye velocity information, the model can account for the accuracy of saccades in double step stimulation experiments. Further, the model accounts for the effects of focal SC lesions. Finally, it accounts for the properties of saccades evoked in response to the electrical stimulation of the SC. These include the approximate size constancy of evoked saccades despite increases of stimulus intensity, the fact that the size of evoked saccades depends on the time that has elapsed from a previous saccade, the fact that staircases of saccades are evoked in response to prolonged stimuli, and the fact that the size of saccades evoked in response to the simultaneous stimulation of two SC sites is the average of the saccades that are evoked when the two sites are separately stimulated.
本报告评估了一种基于生物学原理的灵长类动物上丘(SC)神经网络模型的性能。与已知的解剖学和生理学一致,其主要特征包括其输出元件之间的兴奋性连接、黑质门控机制,以及源自网状结构的眼位移反馈,以在视网膜坐标中重新计算扫视到记忆目标的指标。尽管该模型未使用眼位或眼速信息,但它可以解释双步刺激实验中扫视的准确性。此外,该模型解释了局灶性SC损伤的影响。最后,它解释了响应SC电刺激而诱发的扫视的特性。这些特性包括尽管刺激强度增加,但诱发扫视的大小大致恒定,诱发扫视的大小取决于自上次扫视以来经过的时间,响应长时间刺激会诱发扫视阶梯,以及响应两个SC位点同时刺激而诱发的扫视大小是两个位点分别刺激时诱发扫视的平均值。