Yukiyasu Kamitani
Cognitive Neuroscience · 2000–2022
A researcher in the Science corpus: 9 papers; trusts 49 researchers and is trusted by 94 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 91 citations into it; #297 of 10,852 by trust here, #999 by citations
- Computer Vision and Pattern Recognition — 46 citations into it; #12,231 of 21,575 by trust here, #17,757 by citations
- Neuroscience — 14 citations into it
- Evaluation & Benchmarks — 10 citations into it
- Cellular and Molecular Neuroscience — 9 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Statistics and Probability — 7 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Yukiyasu Kamitani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vladimir Naumovich Vapnik
- Radford M. Neal
- Nancy Kanwisher
- Kendrick Norris Kay
- David H. Hubel
- John P. Donoghue
- Jia Deng
- Zoe Kourtzi
- Thomas Naselaris
- Dekang Lin
Who trusts Yukiyasu Kamitani overall
- John-Dylan Haynes
- Frank Tong
- Nikolaus Kriegeskorte
- James V. Haxby
- Thomas Naselaris
- Martin N. Hebart
- Tomoyasu Horikawa
- Jörn Diedrichsen
- G. Brouwer
- Alex Clarke
Papers from Yukiyasu Kamitani's perspective
Ordered by how strongly the researchers Yukiyasu Kamitani trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Illusions: What you see is what you hear (2000) — 1,104 citations
- Visual illusion induced by sound. (2002) — 640 citations
- Visual image reconstruction from human brain activity using a combination of multiscale local image decoders. (2008) — 603 citations
- Decoding distributed oscillatory signals driven by memory and perception in the prefrontal cortex. (2022)
- Deep image reconstruction from human brain activity (2017) — 359 citations
- Generic decoding of seen and imagined objects using hierarchical visual features (2015) — 569 citations
- Neural Decoding of Visual Imagery During Sleep (2013) — 383 citations
- Sparse estimation automatically selects voxels relevant for the decoding of fMRI activity patterns (2008) — 371 citations
- Decoding the visual and subjective contents of the human brain (2005) — 2,023 citations