Krommenhoek K P, Van Gisbergen J A
Department of Medical Physics and Biophysics, KUN, Nijmegen, The Netherlands.
Exp Brain Res. 1994;102(1):95-109. doi: 10.1007/BF00232442.
Recently, a quantitative model for the general of rapid eye movements in direction and depth was proposed. In this scheme, the saccadic and the vergence system share a common initiation system and are controlled by local feedback loops based on efference copy signals. We have used a remembered-target double-step paradigm to test the idea that both subsystems are guided by extraretinal signals. The subject was instructed to move the binocular point of fixation to the remembered positions indicated by a double-step movement of the target, in direction and depth. Since both binocular refixations were made in complete darkness, correct execution of this task requires information about both the stored visual coordinates of the final target and the coordinates of the first movement. Binocular eye movements from five subjects were compared with predictions from two feed-forward models and a feedback model. Analysis of the pooled direction data showed that the feedback model performed best and fitted well. Qualitatively the same result was obtained in the vergence component, but in this case the goodness of fit was considerably less. These results, confirmed in each individual subject, show that the saccadic and vergence subsystem can use nonretinal information about a prior movement in direction and depth. Further analysis showed that the gain of the direction response of the second movement was, on average, roughly correct. By contrast, the vergence component of these responses was only about 60% of the required amplitude. Since the fit procedure gave the same weighting factors to the second target and to the first movement, we propose that the low vergence gain reflects mechanisms operating after the calculation of the motor error signal, possibly at the execution stage. Finally, we discuss the possibility of a central control stage keeping track of the ongoing movement sequence, based on a comparison of desired and current eye position signals.
最近,提出了一种用于快速眼动方向和深度生成的定量模型。在该方案中,扫视系统和聚散系统共享一个共同的启动系统,并由基于传出副本信号的局部反馈回路控制。我们使用了记忆目标双步范式来测试两个子系统均由视网膜外信号引导这一观点。受试者被指示将双眼注视点移动到目标双步移动所指示的记忆位置,包括方向和深度。由于两次双眼重新注视均在完全黑暗中进行,正确执行此任务需要有关最终目标的存储视觉坐标和第一次移动坐标的信息。将五名受试者的双眼眼动与两个前馈模型和一个反馈模型的预测进行了比较。对汇总的方向数据的分析表明,反馈模型表现最佳且拟合良好。在聚散分量中定性地获得了相同的结果,但在这种情况下拟合优度要低得多。在每个个体受试者中得到证实的这些结果表明,扫视和聚散子系统可以使用关于先前方向和深度移动的非视网膜信息。进一步分析表明,第二次移动的方向响应增益平均大致正确。相比之下,这些响应的聚散分量仅约为所需幅度的60%。由于拟合过程对第二个目标和第一次移动赋予了相同的加权因子,我们提出低聚散增益反映了在计算运动误差信号之后起作用的机制,可能在执行阶段。最后,基于期望眼位信号和当前眼位信号的比较,我们讨论了一个中央控制阶段跟踪正在进行的运动序列的可能性。