Department of Psychology, York University, Toronto, Ontario, Canada.
Centre for Vision Research, York University, Toronto, Ontario, Canada.
J Neurophysiol. 2021 Sep 1;126(3):845-863. doi: 10.1152/jn.00580.2020. Epub 2021 Aug 4.
Oculomotor target selection often requires discriminating visual features, but it remains unclear how oculomotor substrates encoding saccade vectors functionally contribute to this process. One possibility is that oculomotor vector representations (observed directly as physiological activation or inferred from behavioral interference) of potential targets are continuously reweighted by task relevance computed elsewhere in specialized visual modules, whereas an alternative possibility is that oculomotor modules use local featural analyses to actively discriminate potential targets. Strengthening the former account, oculomotor vector representations have longer onset latencies for ventral- (i.e., color) than dorsal-stream features (i.e., luminance), suggesting that oculomotor vector representations originate from featurally relevant specialized visual modules. Here, we extended this reasoning by behaviorally examining whether the onset latency of saccadic interference elicited by visually complex stimuli is greater than is commonly observed for simple stimuli. We measured human saccade metrics (saccade curvature, endpoint deviations, saccade frequency, and error proportion) as a function of time after abrupt distractor onset. Distractors were novel, visually complex, and had to be discriminated from targets to guide saccades. The earliest saccadic interference latency was ∼110 ms, considerably longer than previous experiments, suggesting that sensory representations projected into the oculomotor system are gated to allow for sufficient featural processing to satisfy task demands. Surprisingly, initial oculomotor vector representations encoded features, as we manipulated the visual similarity between targets and distractors and observed increased vector modulation response magnitude and duration when the distractor was highly similar to the target. Oculomotor vector modulation was gradually extinguished over the time course of the experiment. We challenge the role of the oculomotor system in discriminating features during saccadic target selection. Our data suggest that the onset latency of oculomotor vector representations is scaled by task difficulty and featural complexity, suggesting that featural computations are performed outside of the oculomotor system, which receives the output of these computations only after sufficient visual and cognitive processing. We also challenge the convention that initial oculomotor vector representations are feature invariant, as they encoded task relevance.
眼球运动目标选择通常需要辨别视觉特征,但眼球运动基底如何对眼球运动矢量进行编码,从而对这一过程进行功能性贡献,仍不清楚。一种可能性是,潜在目标的眼球运动矢量表示(直接观察到的生理激活或从行为干扰中推断出来)由专门的视觉模块中其他地方计算的任务相关性不断重新加权,而另一种可能性是眼球运动模块使用局部特征分析来主动辨别潜在目标。加强前者的说法,眼球运动矢量表示对于腹侧(即颜色)特征的起始潜伏期比背侧流特征(即亮度)长,这表明眼球运动矢量表示来自特征相关的专门视觉模块。在这里,我们通过行为研究进一步扩展了这一推理,即检查视觉复杂刺激引起的眼球运动干扰的起始潜伏期是否大于通常观察到的简单刺激。我们测量了人类眼球运动的指标(眼球运动曲率、终点偏差、眼球运动频率和误差比例),作为突然出现干扰物后的时间函数。干扰物是新的、视觉复杂的,必须与目标区分开来以引导眼球运动。最早的眼球运动干扰潜伏期约为 110ms,比以前的实验长得多,这表明传入眼球运动系统的感觉表示被门控,以允许进行足够的特征处理,以满足任务需求。令人惊讶的是,最初的眼球运动矢量表示编码了特征,因为我们操纵了目标和干扰物之间的视觉相似性,并观察到当干扰物与目标非常相似时,矢量调制响应幅度和持续时间增加。在实验过程中,眼球运动矢量调制逐渐减弱。我们质疑眼球运动系统在眼球运动目标选择过程中区分特征的作用。我们的数据表明,眼球运动矢量表示的起始潜伏期是由任务难度和特征复杂性决定的,这表明特征计算是在眼球运动系统之外进行的,只有在进行了足够的视觉和认知处理后,该系统才会接收这些计算的输出。我们还质疑初始眼球运动矢量表示特征不变的传统观念,因为它们编码了任务相关性。