Shape representation in V4: Investigating position-specific tuning for boundary conformation with the standard model of object recognition
Shape representation in V4: Investigating position-specific tuning for boundary conformation with the standard model of object recognition
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V4 中的形状表示：使用对象识别的标准模型研究边界构象的位置特定调整
DOI：
10.1167/5.8.671
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发表时间：
2010
影响因子：
1.8
通讯作者：
T. Poggio
中科院分区：
文献类型：
--
作者：
C. Cadieu;Minjoon Kouh;M. Riesenhuber;T. Poggio
摘要：腹侧通路中负责视觉物体识别的中间阶段的计算过程尚不清楚。最近，A. Pasupathy和C. Connor利用轮廓刺激在V4中间区域进行了一项生理学研究，提出V4神经元群显示出以物体为中心、特定位置的曲率调谐。对象识别的标准模型是最近开发的一个模型，用于解释IT细胞的识别特性（扩展了Hubel， Wiesel等人的经典建议），这里使用该模型来模拟Pasupathy和Connor中描述的V4细胞的响应。我们的研究结果表明，前馈网络级机制可以表现出与V4细胞响应相对应的选择性和不变性。这些结果表明，V4细胞的以物体为中心、位置特定的曲率调整可能是由复杂的V1细胞反应组合而产生的。此外，该模型还预测了Pasupathy和Connor研究的V4细胞对新的灰度模式（如光栅和自然图像）的反应。这些预测提示了进一步探索V4形状表征的具体实验。
Abstract : The computational processes in the intermediate stages of the ventral pathway responsible for visual object recognition are not well understood. A recent physiological study by A. Pasupathy and C. Connor in intermediate area V4 using contour stimuli, proposes that a population of V4 neurons display object-centered, position-specific curvature tuning. The standard model of object recognition, a recently developed model to account for recognition properties of IT cells (extending classical suggestions by Hubel, Wiesel and others), is used here to model the response of the V4 cells described in Pasupathy and Connor. Our results show that a feedforward, network level mechanism can exhibit selectivity and invariance properties that correspond to the responses of the V4 cells. These results suggest how object-centered, position-specific curvature tuning of V4 cells may arise from combinations of complex V1 cell responses. Furthermore, the model makes predictions about the responses of the same V4 cells studied by Pasupathy and Connor to novel gray level patterns, such as gratings and natural images. These predictions suggest specific experiments to further explore shape representation in V4.
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影响因子：
2.5
作者：
Gawne, TJ;Martin, JM
通讯作者：
Martin, JM
影响因子：
3.7
作者：
Felleman, Daniel J.;Van Essen, David C.
通讯作者：
Van Essen, David C.
影响因子：
2.5
作者：
Gallant, JL;Connor, CE;VanEssen, DC
通讯作者：
VanEssen, DC
影响因子：
2.5
作者：
Pasupathy, A;Connor, CE
通讯作者：
Connor, CE
影响因子：
2.5
作者：
Ringach, DL
通讯作者：
Ringach, DL