Center for Learning and Memory, The University of Texas at Austin, Austin, Texas 78712.
Department of Neuroscience, The University of Texas at Austin, Austin, Texas 78712.
eNeuro. 2023 Jun 12;10(6). doi: 10.1523/ENEURO.0072-23.2023. Print 2023 Jun.
Ocular following eye movements help stabilize images on the retina and offer a window to study motion interpretation by visual circuits. We use these ocular following eye movements to study motion integration behavior in the marmosets. We characterize ocular following responses in the marmosets using different moving stimuli such as dot patterns, gratings, and plaids. Marmosets track motion along different directions and exhibit spatial frequency and speed sensitivity, which closely matches the sensitivity reported in neurons from their motion-selective area MT. Marmosets are also able to track the integrated motion of plaids, with tracking direction consistent with an intersection of constraints model of motion integration. Marmoset ocular following responses are similar to responses in macaques and humans with certain species-specific differences in peak sensitivities. Such motion-sensitive eye movement behavior in combination with direct access to cortical circuitry makes the marmoset model well suited to study the neural basis of motion integration.
眼球追踪眼动帮助视网膜上的图像稳定,并为研究视觉回路对运动的解释提供了一个窗口。我们利用这些眼球追踪眼动来研究狨猴的运动整合行为。我们使用不同的运动刺激物,如点模式、光栅和斑纹,来描述狨猴的眼球追踪反应。狨猴可以沿着不同的方向追踪运动,并表现出空间频率和速度敏感性,这与从其运动选择区域 MT 中神经元报告的敏感性非常吻合。狨猴也能够追踪斑纹的综合运动,其追踪方向与运动整合约束模型的交点一致。狨猴的眼球追踪反应与猕猴和人类的反应相似,但在峰值敏感性方面存在某些特定的物种差异。这种对运动敏感的眼球运动行为,加上对皮质回路的直接访问,使狨猴模型非常适合研究运动整合的神经基础。