Computational Science Research Program, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan.
Neural Netw. 2011 Nov;24(9):990-7. doi: 10.1016/j.neunet.2011.06.007. Epub 2011 Jun 22.
The eyes are continuously fluctuating even during fixation. The fluctuations are called miniature eye movements and consist of microsaccades, drifts, and tremors. It has been revealed that these miniature eye movements aid our vision; they improve the visibility of high spatial frequency components, and prevent retinal adaptation during fixation. Although the functional roles of the miniature eye movements have gradually been uncovered, their generation mechanism remains a mystery. Here, we focused on microsaccades, and constructed a neuronal network model to explore their generation mechanism. Several lines of evidence ensure that microsaccades and saccades share the same neuronal circuitry because they fall on the same main sequence, a relationship between their amplitudes and peak velocities. In the saccade pathway, saccade commands generated in the superior colliculus are relayed to motoneurons via burst neurons (BNs) and the integrator network. The BNs are inhibited by omnipause neurons (OPNs) except when saccades are generated. We configured a model for microsaccades based on the well-defined saccade neuronal pathway including tonic neurons, BNs, OPNs, the integrator network, and the eye plant. The model successfully reproduced various characteristics of microsaccade: square-wave jerk, single-sided microsaccades, and the main sequence. Moreover, during microsaccades, BNs showed low-rate spikes due to a partial release from the OPN inhibition. These results suggest that microsaccades are generated when BNs are partially, but not completely, released from tonic inhibition by OPNs during fixation, in contrast to the generation of ordinary saccades in which OPNs pause firing and release BNs from their strong inhibition.
即使在注视时,眼睛也在不断地波动。这些波动被称为微扫视运动,由微扫视、漂移和震颤组成。已经揭示出这些微扫视运动有助于我们的视觉;它们提高了高空间频率成分的可见度,并防止在注视时视网膜适应。尽管微扫视运动的功能作用逐渐被揭示出来,但它们的产生机制仍然是一个谜。在这里,我们专注于微扫视,并构建了一个神经元网络模型来探索其产生机制。有几条证据表明,微扫视和扫视共享相同的神经元回路,因为它们落在相同的主序列上,即它们的幅度和峰值速度之间的关系。在扫视通路中,上丘中产生的扫视命令通过爆发神经元 (BNs) 和积分网络传递到运动神经元。除了生成扫视时,BNs 会被全停神经元 (OPNs) 抑制。我们根据包括紧张性神经元、BNs、OPNs、积分网络和眼植物在内的明确扫视神经元通路构建了一个微扫视模型。该模型成功地再现了微扫视的各种特征:方波急动、单侧微扫视和主序列。此外,在微扫视期间,由于 OPN 抑制的部分释放,BNs 表现出低频率的尖峰。这些结果表明,在注视时,BNs 部分但不完全从 OPN 的紧张性抑制中释放出来,就会产生微扫视,而不是像普通扫视那样,OPN 暂停发射并从其强抑制中释放 BNs。