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Motion Perception in the Common Marmoset.
Cerebral Cortex ( IF 3.7 ) Pub Date : 2020-04-14 , DOI: 10.1093/cercor/bhz267
Shaun L Cloherty 1, 2 , Jacob L Yates 1 , Dina Graf 1 , Gregory C DeAngelis 1 , Jude F Mitchell 1
Affiliation  

Visual motion processing is a well-established model system for studying neural population codes in primates. The common marmoset, a small new world primate, offers unparalleled opportunities to probe these population codes in key motion processing areas, such as cortical areas MT and MST, because these areas are accessible for imaging and recording at the cortical surface. However, little is currently known about the perceptual abilities of the marmoset. Here, we introduce a paradigm for studying motion perception in the marmoset and compare their psychophysical performance with human observers. We trained two marmosets to perform a motion estimation task in which they provided an analog report of their perceived direction of motion with an eye movement to a ring that surrounded the motion stimulus. Marmosets and humans exhibited similar trade-offs in speed versus accuracy: errors were larger and reaction times were longer as the strength of the motion signal was reduced. Reverse correlation on the temporal fluctuations in motion direction revealed that both species exhibited short integration windows; however, marmosets had substantially less nondecision time than humans. Our results provide the first quantification of motion perception in the marmoset and demonstrate several advantages to using analog estimation tasks.

中文翻译:

普通狨猴的运动知觉。

视觉运动处理是一种成熟的模型系统,用于研究灵长类动物的神经种群代码。普通狨猴是一种小型的新世界灵长类动物,它提供了无与伦比的机会来探测关键运动处理区域(例如皮质区域 MT 和 MST)中的这些种群代码,因为这些区域可以在皮质表面进行成像和记录。然而,目前对狨猴的感知能力知之甚少。在这里,我们介绍了研究狨猴运动感知的范式,并将它们的心理物理表现与人类观察者进行比较。我们训练了两只狨猴来执行运动估计任务,在该任务中,它们提供了感知运动方向的模拟报告,其中眼睛运动到围绕运动刺激的环。狨猴和人类在速度与准确性方面表现出类似的权衡:随着运动信号强度的降低,错误更大,反应时间更长。运动方向的时间波动的反向相关表明两种物种都表现出短的整合窗口;然而,狨猴的犹豫时间比人类少得多。我们的结果首次量化了狨猴的运动感知,并证明了使用模拟估计任务的几个优势。狨猴的犹豫时间比人类少得多。我们的结果首次量化了狨猴的运动感知,并证明了使用模拟估计任务的几个优势。狨猴的犹豫时间比人类少得多。我们的结果首次量化了狨猴的运动感知,并证明了使用模拟估计任务的几个优势。
更新日期:2020-04-23
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