动力学(音乐)
对象(语法)
人脑
人工智能
计算机科学
神经科学
认知科学
心理学
教育学
作者
Monika Graumann,Caterina Ciuffi,Kshitij Dwivedi,Gemma Roig,Radoslaw Martin Cichy
标识
DOI:10.1038/s41562-022-01302-0
摘要
To interact with objects in complex environments, we must know what they are and where they are in spite of challenging viewing conditions. Here, we investigated where, how and when representations of object location and category emerge in the human brain when objects appear on cluttered natural scene images using a combination of functional magnetic resonance imaging, electroencephalography and computational models. We found location representations to emerge along the ventral visual stream towards lateral occipital complex, mirrored by gradual emergence in deep neural networks. Time-resolved analysis suggested that computing object location representations involves recurrent processing in high-level visual cortex. Object category representations also emerged gradually along the ventral visual stream, with evidence for recurrent computations. These results resolve the spatiotemporal dynamics of the ventral visual stream that give rise to representations of where and what objects are present in a scene under challenging viewing conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI