Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
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About Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence
This paper, published in 2016, received 427 indexed citations . Written by Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba and Aude Oliva covering the research area of Cognitive Neuroscience and Computer Vision and Pattern Recognition. It is primarily cited by scholars working on Cognitive Neuroscience (338 citations), Computer Vision and Pattern Recognition (133 citations) and Artificial Intelligence (67 citations). Published in Scientific Reports.
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This paper is also available at doi.org/10.1038/srep27755.