Shinji Nishimoto
Cognitive Neuroscience · 2010–2023
A researcher in the Science corpus: 5 papers; trusts 41 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 90 citations into it; #1,513 of 10,852 by trust here, #1,628 by citations
- Computer Vision and Pattern Recognition — 36 citations into it
- Artificial Intelligence — 15 citations into it
- Biophysics — 10 citations into it
- Social Psychology — 10 citations into it
- Neuroscience — 9 citations into it
- Cultural Studies — 5 citations into it
- Statistics and Probability — 5 citations into it
Whom Shinji Nishimoto trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Thomas Naselaris
- Kendrick Norris Kay
- John-Dylan Haynes
- Serge O. Dumoulin
- Yukiyasu Kamitani
- Alex Krizhevsky
- Uri Hasson
- Radford M. Neal
- Tom Michael Mitchell
- George A. Miller
Who trusts Shinji Nishimoto overall
- Martin N. Hebart
- Alexander G. Huth
- John-Dylan Haynes
- James V. Haxby
- Alexey Dosovitskiy
- Haiguang Wen
- Mariya Toneva
- Thomas Naselaris
- Gaël Varoquaux
- Jerry Tang
Papers from Shinji Nishimoto's perspective
Ordered by how strongly the researchers Shinji Nishimoto 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- High-resolution image reconstruction with latent diffusion models from human brain activity (2023) — 397 citations
- Attention During Natural Vision Warps Semantic Representation Across the Human Brain (2013) — 377 citations
- A continuous semantic space describes the representation of thousands of object and action categories across the human brain (2012) — 908 citations
- Reconstructing visual experiences from brain activity evoked by natural movies (2011) — 1,018 citations
- Encoding and decoding in fMRI (2010) — 996 citations