receptive field
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Learning Versatile Filters for Efficient Convolutional Neural Networks
Yunhe Wang, Chang Xu, Chunjing XU, Chao Xu, Dacheng Tao
Neural Information Processing Systems http://nips.cc/
Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks
Anirvan Sengupta, Cengiz Pehlevan, Mariano Tepper, Alexander Genkin, Dmitri Chklovskii
Neural Information Processing Systems http://nips.cc/
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Stimulus domain transfer in recurrent models for large scale cortical population prediction on video
Fabian Sinz, Alexander S. Ecker, Paul Fahey, Edgar Walker, Erick Cobos, Emmanouil Froudarakis, Dimitri Yatsenko, Zachary Pitkow, Jacob Reimer, Andreas Tolias
Neural Information Processing Systems http://nips.cc/
- Europe > Germany > Baden-Württemberg > Tübingen Region > Tübingen (0.05)
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Image Inpainting via Generative Multi-column Convolutional Neural Networks
Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia
In this paper, we propose a generative multi-column network for image inpainting.
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Nonlinear scaling of resource allocation in sensory bottlenecks
Laura Rose Edmondson, Alejandro Jimenez Rodriguez, Hannes P. Saal
Efficient coding theory hasbeen used topredict howthe brain should allocate its limited resources in these scenarios by removing redundant information [1-4].