Blohm Gunnar, Optican Lance M, Lefèvre Philippe
CESAME, Université catholique de Louvain, 4, avenue G. Lemaître, 1348, Louvain-la-Neuve, Belgium.
J Comput Neurosci. 2006 Aug;21(1):51-70. doi: 10.1007/s10827-006-7199-6. Epub 2006 Apr 22.
Past results have reported conflicting findings on the oculomotor system's ability to keep track of smooth eye movements in darkness. Whereas some results indicate that saccades cannot compensate for smooth eye displacements, others report that memory-guided saccades during smooth pursuit are spatially correct. Recently, it was shown that the amount of time before the saccade made a difference: short-latency saccades were retinotopically coded, whereas long-latency saccades were spatially coded. Here, we propose a model of the saccadic system that can explain the available experimental data. The novel part of this model consists of a delayed integration of efferent smooth eye velocity commands. Two alternative physiologically realistic neural mechanisms for this integration stage are proposed. Model simulations accurately reproduced prior findings. Thus, this model reconciles the earlier contradictory reports from the literature about compensation for smooth eye movements before saccades because it involves a slow integration process.
过去的研究结果在动眼系统在黑暗中追踪平滑眼动的能力方面报告了相互矛盾的发现。虽然一些结果表明扫视不能补偿平滑眼位移,但另一些结果报告称在平滑追踪期间记忆引导的扫视在空间上是正确的。最近,研究表明扫视之前的时间量会产生影响:短潜伏期扫视是视网膜拓扑编码的,而长潜伏期扫视是空间编码的。在这里,我们提出了一个扫视系统模型,该模型可以解释现有的实验数据。该模型的新颖之处在于对传出平滑眼速度命令进行延迟整合。针对这个整合阶段提出了两种替代的生理现实神经机制。模型模拟准确地再现了先前的发现。因此,该模型调和了文献中关于扫视前平滑眼动补偿的早期矛盾报告,因为它涉及一个缓慢的整合过程。