Psychological Sciences Research Institute, Institute of Neuroscience, University of Louvain, Belgium; Department of Psychology, Center for Integrative Neuroscience, University of Nevada, Reno, USA.
Department of Psychology, Center for Integrative Neuroscience, University of Nevada, Reno, USA.
Neuroimage. 2020 Jun;213:116685. doi: 10.1016/j.neuroimage.2020.116685. Epub 2020 Feb 28.
Visual categorization is integral for our interaction with the natural environment. In this process, similar selective responses are produced to a class of variable visual inputs. Whether categorization is supported by partial (graded) or absolute (all-or-none) neural responses in high-level human brain regions is largely unknown. We address this issue with a novel frequency-sweep paradigm probing the evolution of face categorization responses between the minimal and optimal stimulus presentation times. In a first experiment, natural images of variable non-face objects were progressively swept from 120 to 3 Hz (8.33-333 ms duration) in rapid serial visual presentation sequences. Widely variable face exemplars appeared every 1 s, enabling an implicit frequency-tagged face-categorization electroencephalographic (EEG) response at 1 Hz. Face-categorization activity emerged with stimulus durations as brief as 17 ms (17-83 ms across individual participants) but was significant with 33 ms durations at the group level. The face categorization response amplitude increased until 83 ms stimulus duration (12 Hz), implying graded categorization responses. In a second EEG experiment, faces appeared non-periodically throughout such sequences at fixed presentation rates, while participants explicitly categorized faces. A strong correlation between response amplitude and behavioral accuracy across frequency rates suggested that dilution from missed categorizations, rather than a decreased response to each face stimulus, accounted for the graded categorization responses as found in Experiment 1. This was supported by (1) the absence of neural responses to faces that participants failed to categorize explicitly in Experiment 2 and (2) equivalent amplitudes and spatio-temporal signatures of neural responses to behaviorally categorized faces across presentation rates. Overall, these observations provide original evidence that high-level visual categorization of faces, starting at about 100 ms following stimulus onset in the human brain, is variable across observers tested under tight temporal constraints, but occurs in an all-or-none fashion.
视觉分类对于我们与自然环境的互动至关重要。在这个过程中,对一类可变的视觉输入会产生相似的选择性反应。在高级人类大脑区域中,分类是由部分(渐变)还是绝对(全或无)神经反应支持的,在很大程度上尚不清楚。我们使用一种新颖的频率扫描范式来解决这个问题,该范式探测了在最小和最佳刺激呈现时间之间面孔分类反应的演变。在第一个实验中,可变的非面孔物体的自然图像在快速序列视觉呈现序列中从 120 到 3 Hz(8.33-333 ms 持续时间)逐渐扫描。每隔 1 秒出现广泛变化的面孔示例,从而在 1 Hz 时产生隐含的频率标记面孔分类脑电图(EEG)响应。面孔分类活动在刺激持续时间短至 17 ms(17-83 ms 跨个体参与者)时就出现,但在组水平上,33 ms 持续时间的分类反应是显著的。面孔分类反应幅度增加到 83 ms 刺激持续时间(12 Hz),这意味着分类反应是渐变的。在第二个 EEG 实验中,面孔在这些序列中以固定的呈现率非周期性地出现,而参与者则明确地对面孔进行分类。在频率率之间,响应幅度与行为准确性之间存在很强的相关性,这表明,造成实验 1 中渐变分类反应的原因是错过分类的稀释,而不是对每个面孔刺激的反应降低。这得到了以下证据的支持:(1)在实验 2 中,参与者未明确分类的面孔没有神经反应;(2)在整个呈现率范围内,对行为分类的面孔的神经反应具有相同的幅度和时空特征。总体而言,这些观察结果提供了原始证据,表明人类大脑中大约在刺激开始后 100 ms 开始对面孔的高级视觉分类在观察者之间是可变的,在严格的时间约束下进行测试,但以全或无的方式发生。