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Contextual Interactions in Grating Plaid Configurations Are Explained by Natural Image Statistics and Neural Modeling

机译:光栅格子配置中的上下文交互通过自然图像统计和神经建模进行解释

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摘要

Processing natural scenes requires the visual system to integrate local features into global object descriptions. To achieve coherent representations, the human brain uses statistical dependencies to guide weighting of local feature conjunctions. Pairwise interactions among feature detectors in early visual areas may form the early substrate of these local feature bindings. To investigate local interaction structures in visual cortex, we combined psychophysical experiments with computational modeling and natural scene analysis. We first measured contrast thresholds for 2 × 2 grating patch arrangements (plaids), which differed in spatial frequency composition (low, high, or mixed), number of grating patch co-alignments (0, 1, or 2), and inter-patch distances (1° and 2° of visual angle). Contrast thresholds for the different configurations were compared to the prediction of probability summation (PS) among detector families tuned to the four retinal positions. For 1° distance the thresholds for all configurations were larger than predicted by PS, indicating inhibitory interactions. For 2° distance, thresholds were significantly lower compared to PS when the plaids were homogeneous in spatial frequency and orientation, but not when spatial frequencies were mixed or there was at least one misalignment. Next, we constructed a neural population model with horizontal laminar structure, which reproduced the detection thresholds after adaptation of connection weights. Consistent with prior work, contextual interactions were medium-range inhibition and long-range, orientation-specific excitation. However, inclusion of orientation-specific, inhibitory interactions between populations with different spatial frequency preferences were crucial for explaining detection thresholds. Finally, for all plaid configurations we computed their likelihood of occurrence in natural images. The likelihoods turned out to be inversely related to the detection thresholds obtained at larger inter-patch distances. However, likelihoods were almost independent of inter-patch distance, implying that natural image statistics could not explain the crowding-like results at short distances. This failure of natural image statistics to resolve the patch distance modulation of plaid visibility remains a challenge to the approach.
机译:处理自然场景需要视觉系统将局部特征集成到全局对象描述中。为了获得连贯的表示,人脑使用统计依赖性来指导局部特征连接的加权。早期视觉区域中特征检测器之间的成对交互可能会形成这些局部特征绑定的早期底物。为了研究视觉皮层中的局部相互作用结构,我们将心理物理实验与计算模型和自然场景分析相结合。我们首先测量了2×2光栅面片排列(格子)的对比度阈值,这些阈值在空间频率成分(低,高或混合),光栅面片共对准的数量(0、1,或2)以及贴片距离(视角的1°和2°)。将不同配置的对比度阈值与调整到四个视网膜位置的检测器系列之间的概率总和(PS)预测进行了比较。对于1°距离,所有配置的阈值均大于PS预测的阈值,表明存在抑制性相互作用。对于2°距离,当格子在空间频率和方向上均一时,阈值明显低于PS,但在混合空间频率或至少存在一个未对准时,阈值则比PS低。接下来,我们构建了具有水平层状结构的神经种群模型,该模型在调整连接权重后重现了检测阈值。与先前的工作一致,上下文的交互作用是中程抑制和长程,定向特定的激发。但是,包含不同空间频率偏好的群体之间的定向特异性抑制性相互作用对于解释检测阈值至关重要。最后,对于所有格子配置,我们计算了它们在自然图像中出现的可能性。事实证明,可能性与在较大的色块间距离处获得的检测阈值成反比。但是,可能性几乎与补丁间距离无关,这意味着自然图像统计数据无法解释短距离内的拥挤状结果。自然图像统计数据无法解决格子可见性的斑块距离调制问题仍然是该方法的挑战。

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