Andresen David R, Vinberg Joakim, Grill-Spector Kalanit
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
Neuroimage. 2009 Apr 1;45(2):522-36. doi: 10.1016/j.neuroimage.2008.11.009. Epub 2008 Nov 25.
Understanding the nature of object representations in the human brain is critical for understanding the neural basis of invariant object recognition. However, the degree to which object representations are sensitive to object viewpoint is unknown. Using fMRI we employed a parametric approach to examine the sensitivity to object view as a function of rotation (0 degrees-180 degrees ), category (animal/vehicle) and fMRI-adaptation paradigm (short or long-lagged). For both categories and fMRI-adaptation paradigms, object-selective regions recovered from adaptation when a rotated view of an object was shown after adaptation to a specific view of that object, suggesting that representations are sensitive to object rotation. However, we found evidence for differential representations across categories and ventral stream regions. Rotation cross-adaptation was larger for animals than vehicles, suggesting higher sensitivity to vehicle than animal rotation, and was largest in the left fusiform/occipito-temporal sulcus (pFUS/OTS), suggesting that this region has low sensitivity to rotation. Moreover, right pFUS/OTS and FFA responded more strongly to front than back views of animals (without adaptation) and rotation cross-adaptation depended both on the level of rotation and the adapting view. This result suggests a prevalence of neurons that prefer frontal views of animals in fusiform regions. Using a computational model of view-tuned neurons, we demonstrate that differential neural view tuning widths and relative distributions of neural-tuned populations in fMRI voxels can explain the fMRI results. Overall, our findings underscore the utility of parametric approaches for studying the neural basis of object invariance and suggest that there is no complete invariance to object view in the human ventral stream.
理解人类大脑中物体表征的本质对于理解不变物体识别的神经基础至关重要。然而,物体表征对物体视角的敏感程度尚不清楚。我们使用功能磁共振成像(fMRI)采用参数化方法来检验物体视角敏感性,将其作为旋转角度(0度至180度)、类别(动物/车辆)以及fMRI适应范式(短滞后或长滞后)的函数。对于类别和fMRI适应范式而言,当在适应了物体的特定视角后展示该物体的旋转视角时,物体选择性区域从适应中恢复,这表明表征对物体旋转敏感。然而,我们发现了跨类别和腹侧流区域存在差异表征的证据。动物的旋转交叉适应比车辆更大,这表明对车辆旋转的敏感性高于动物旋转,并且在左侧梭状回/枕颞沟(pFUS/OTS)中最大,这表明该区域对旋转的敏感性较低。此外,右侧pFUS/OTS和梭状回面孔区(FFA)对动物的正面视图(无适应)反应比对背面视图更强烈,并且旋转交叉适应既取决于旋转程度也取决于适应视角。这一结果表明在梭状回区域中偏好动物正面视图的神经元占主导。使用视角调谐神经元的计算模型,我们证明fMRI体素中不同的神经视角调谐宽度和神经调谐群体的相对分布可以解释fMRI结果。总体而言我们的研究结果强调了参数化方法在研究物体不变性神经基础方面的实用性,并表明人类腹侧流中对物体视角不存在完全的不变性。