The resilience of object predictions: early recognition across viewpoints and exemplars.
The resilience of object predictions: early recognition across viewpoints and exemplars.
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DOI：
10.3758/s13423-013-0546-5
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发表时间：
2014-06
影响因子：
3.5
通讯作者：
Bar M
中科院分区：
文献类型：
--
作者：
Cheung OS;Bar M
自上而下的预测可以促进对日常物品的识别。我们已经提出，这些预测来自基本的形状信息，或要点，快速提取低空间频率（LSF）的图像。由于LSF表示的粗糙性质，我们假设这样的预测可以适应视点的变化，以及促进视觉上相似的对象的识别。在重复启动任务中，我们确实观察到显著的促进目标识别，这是由LSF对象启动跨温和的观点变化，以及跨视觉上相似的样本。这些结果表明，LSF表示足够具体，可以激活准确的预测，但又足够灵活，可以克服视觉外观的微小变化。这样的要点表示有利于对象识别，通过适应视觉外观的变化，由于观看条件，并有助于从熟悉的新的范例概括。
Recognition of everyday objects can be facilitated by top-down predictions. We have proposed that these predictions are derived from rudimentary shape information, or gist, extracted rapidly from low spatial frequencies (LSFs) in the image. Because of the coarse nature of LSF representations, we hypothesize here that such predictions can accommodate changes in viewpoint as well as facilitate the recognition of visually similar objects. In a repetition-priming task, we indeed observed significant facilitation of target recognition that was primed by LSF objects across moderate viewpoint changes, as well as across visually similar exemplars. These results suggest that the LSF representations are specific enough to activate accurate predictions, yet flexible enough to overcome small changes in visual appearance. Such gist representations facilitate object recognition by accommodating changes in visual appearance due to viewing conditions and help to generalize from familiar to novel exemplars.
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影响因子：
8.2
作者：
de Gardelle, Vincent;Kouider, Sid
通讯作者：
Kouider, Sid
影响因子：
3.2
作者：
Fabre-Thorpe, M;Delorme, A;Thorpe, S
通讯作者：
Thorpe, S
影响因子：
2.6
作者：
JOLICOEUR, P;GLUCK, MA;KOSSLYN, SM
通讯作者：
KOSSLYN, SM
影响因子：
1.8
作者：
GISH, K;SHULMAN, GL;LEIBOWITZ, HW
通讯作者：
LEIBOWITZ, HW
DOI：
10.1093/cercor/bht146
发表时间：
2014-11-01
期刊：
Cerebral cortex (New York, N.Y. : 1991)
影响因子：
--
作者：
Chaumon, Maximilien;Kveraga, Kestutis;Bar, Moshe
通讯作者：
Bar, Moshe