reading-club / xnn

Artificial/Biological Neural Network
https://reading-club.github.io/clubs/xnn.html
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From RYZhang #2

Open VikingMew opened 7 years ago

VikingMew commented 7 years ago

+1. Gatys, Leon, Alexander S. Ecker, and Matthias Bethge. "Texture synthesis using convolutional neural networks." Advances in Neural Information Processing Systems. 2015. +2. Gatys, Leon A., Alexander S. Ecker, and Matthias Bethge. "A neural algorithm of artistic style." arXiv preprint arXiv:1508.06576 (2015). +3. Goodfellow, Ian. "NIPS 2016 tutorial: Generative adversarial networks." arXiv preprint arXiv:1701.00160 (2016). +4. Yamins, Daniel LK, and James J. DiCarlo. "Using goal-driven deep learning models to understand sensory cortex." Nature neuroscience 19.3 (2016): 356-365. +5. Horikawa, T., and Y. Kamitani. "Generic decoding of seen and imagined objects using hierarchical visual features." Nature communications 8 (2017): 15037. +6. DeepAD: Alzheimer's Disease Classification via Deep Convolutional Neural Networks using MRI and fMRI | Saman Sarraf, John Anderson, Ghassem Tofighi | bioRxiv +7. Automatic Segmentation of MR Brain Images With a Convolutional Neural Network | Moeskops, Pim, Max A. Viergever, Adriënne M. Mendrik, Linda S. de Vries, Manon JNL Benders, and Ivana Išgum | IEEE transactions on medical imaging

ruyuanzhang commented 7 years ago

Mnih, Volodymyr, Nicolas Heess, and Alex Graves. "Recurrent models of visual attention." In Advances in neural information processing systems, pp. 2204-2212. 2014.

VikingMew commented 6 years ago

GRAPES—Grounding representations in action, perception, and emotion systems: How object properties and categories are represented in the human brain A Martin - Psychonomic bulletin & review, 2016