Fakche Camille, Hickey Clayton, Jensen Ole
Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, United Kingdom
Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham B15 2TT, United Kingdom.
J Neurosci. 2024 Dec 4;44(49):e0841242024. doi: 10.1523/JNEUROSCI.0841-24.2024.
While humans typically saccade every ∼250 ms in natural settings, studies on vision tend to prevent or restrict eye movements. As it takes ∼50 ms to initiate and execute a saccade, this leaves only ∼200 ms to identify the fixated object and select the next saccade goal. How much detail can be derived about parafoveal objects in this short time interval, during which foveal processing and saccade planning both occur? Here, we had male and female human participants freely explore a set of natural images while we recorded magnetoencephalography and eye movements. Using multivariate pattern analysis, we demonstrate that future parafoveal images could be decoded at the feature and category level with peak decoding at ∼110 and ∼165 ms, respectively, while the decoding of fixated objects at the feature and category level peaked at ∼100 and ∼145 ms. The decoding of features and categories was contingent on the objects being saccade goals. In sum, we provide insight on the neuronal mechanism of presaccadic attention by demonstrating that feature- and category-specific information of foveal and parafoveal objects can be extracted in succession within a ∼200 ms intersaccadic interval. These findings rule out strict serial or parallel processing accounts but are consistent with a pipeline mechanism in which foveal and parafoveal objects are processed in parallel but at different levels in the visual hierarchy.
在自然环境中,人类通常每250毫秒左右进行一次扫视,但视觉研究往往会阻止或限制眼球运动。由于启动和执行一次扫视大约需要50毫秒,因此只剩下约200毫秒来识别注视的物体并选择下一个扫视目标。在这个既进行中央凹处理又进行扫视计划的短时间间隔内,能从中央凹旁物体中获取多少细节呢?在这里,我们让男性和女性人类参与者自由浏览一组自然图像,同时记录他们的脑磁图和眼球运动。使用多变量模式分析,我们证明未来的中央凹旁图像可以在特征和类别层面进行解码,分别在约110毫秒和165毫秒时达到解码峰值,而注视物体在特征和类别层面的解码峰值分别在约100毫秒和145毫秒。特征和类别的解码取决于物体是否为扫视目标。总之,我们通过证明在约200毫秒的扫视间隔内可以连续提取中央凹和中央凹旁物体的特征和类别特异性信息,为扫视前注意力的神经元机制提供了见解。这些发现排除了严格的串行或并行处理模式,但与一种流水线机制一致,即中央凹和中央凹旁物体在视觉层次结构的不同层面上并行处理。