Using goal-driven deep learning models to understand sensory cortex

822 indexed citations

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This paper, published in 2016, received 822 indexed citations. Written by Daniel Yamins and James J. DiCarlo covering the research area of Cognitive Neuroscience. It is primarily cited by scholars working on Cognitive Neuroscience (620 citations), Computer Vision and Pattern Recognition (191 citations) and Artificial Intelligence (150 citations). Published in Nature Neuroscience.

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doi.org/10.1038/nn.4244 →

Countries where authors are citing Using goal-driven deep learning models to understand sensory cortex

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Fields of papers citing Using goal-driven deep learning models to understand sensory cortex

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Using goal-driven deep learning models to understand sensory cortex. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Using goal-driven deep learning models to understand sensory cortex.

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This paper is also available at doi.org/10.1038/nn.4244.

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