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Cognitive and Neural Mechanism for the Recognition of Fragmented Visual Information

识别碎片视觉信息的认知和神经机制

基本信息

批准号：
23700316
负责人：
JIANG Yinlai
金额：
$ 2.08万
依托单位：
Kochi University of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Young Scientists (B)
财政年份：
2011
资助国家：
日本
起止时间：
2011 至 2012
项目状态：
已结题

项目摘要

The visual recognition system has a capability, called visual interpolation ability, to identify objects that exist in part behind some bodies or are seen through apertures in something. We have studied the computational model and the neural basis of the visual interpolation ability using fragmented letters. A least-distance connection model, which hypothesize that the fragmented visual information is recognized based on the distances between the information, was proposed and validated. Functional imaging of the brain showed that that fragmented-letter identification was accompanied by greater activation in the bilateral dorsolateral, inferior, and lateral frontal cortices, compared to complete-letter identification. Experimental results illustrated that the bilateral extent of leukoaraiosis, however small it may be, was significantly associated with the decline of the visual interpolation ability. The results showed the useful possibility of our method for early detection of cognitive impairment.

视觉识别系统具有一种称为视觉插值能力的能力，可以识别部分存在于某些物体后面或通过某些物体的孔径看到的物体。我们已经研究了计算模型和视觉插值能力的神经基础，使用碎片字母。提出并验证了一种最小距离连接模型，该模型假设碎片视觉信息是根据信息之间的距离来识别的。大脑的功能成像显示，与识别完整字母相比，识别碎片字母伴随着双侧背外侧、下方和外侧额叶皮质的更大激活。实验结果表明，脑白质疏松的双侧范围，无论多么小，与视觉插值能力的下降显着相关。结果表明，我们的方法用于早期检测认知功能障碍的有用的可能性。